#Anthropic Claude 3 Opus

[jcmarchi]

5 Best Large Language Models (LLMs) (September 2024)

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5 Best Large Language Models (LLMs) (September 2024)

The field of artificial intelligence is evolving at a breathtaking pace, with large language models (LLMs) leading the charge in natural language processing and understanding. As we navigate this, a new generation of LLMs has emerged, each pushing the boundaries of what’s possible in AI.

In this overview of the best LLMs, we’ll explore the key features, benchmark performances, and potential applications of these cutting-edge language models, offering insights into how they’re shaping the future of AI technology.

Anthropic’s Claude 3 models, released in March 2024, represented a significant leap forward in artificial intelligence capabilities. This family of LLMs offers enhanced performance across a wide range of tasks, from natural language processing to complex problem-solving.

Claude 3 comes in three distinct versions, each tailored for specific use cases:

Claude 3 Opus: The flagship model, offering the highest level of intelligence and capability.

Claude 3.5 Sonnet: A balanced option, providing a mix of speed and advanced functionality.

Claude 3 Haiku: The fastest and most compact model, optimized for quick responses and efficiency.

Key Capabilites of Claude 3:

Enhanced Contextual Understanding: Claude 3 demonstrates improved ability to grasp nuanced contexts, reducing unnecessary refusals and better distinguishing between potentially harmful and benign requests.

Multilingual Proficiency: The models show significant improvements in non-English languages, including Spanish, Japanese, and French, enhancing their global applicability.

Visual Interpretation: Claude 3 can analyze and interpret various types of visual data, including charts, diagrams, photos, and technical drawings.

Advanced Code Generation and Analysis: The models excel at coding tasks, making them valuable tools for software development and data science.

Large Context Window: Claude 3 features a 200,000 token context window, with potential for inputs over 1 million tokens for select high-demand applications.

Benchmark Performance:

Claude 3 Opus has demonstrated impressive results across various industry-standard benchmarks:

MMLU (Massive Multitask Language Understanding): 86.7%

GSM8K (Grade School Math 8K): 94.9%

HumanEval (coding benchmark): 90.6%

GPQA (Graduate-level Professional Quality Assurance): 66.1%

MATH (advanced mathematical reasoning): 53.9%

These scores often surpass those of other leading models, including GPT-4 and Google’s Gemini Ultra, positioning Claude 3 as a top contender in the AI landscape.

Claude 3 Benchmarks (Anthropic)

Claude 3 Ethical Considerations and Safety

Anthropic has placed a strong emphasis on AI safety and ethics in the development of Claude 3:

Reduced Bias: The models show improved performance on bias-related benchmarks.

Transparency: Efforts have been made to enhance the overall transparency of the AI system.

Continuous Monitoring: Anthropic maintains ongoing safety monitoring, with Claude 3 achieving an AI Safety Level 2 rating.

Responsible Development: The company remains committed to advancing safety and neutrality in AI development.

Claude 3 represents a significant advancement in LLM technology, offering improved performance across various tasks, enhanced multilingual capabilities, and sophisticated visual interpretation. Its strong benchmark results and versatile applications make it a compelling choice for an LLM.

Visit Claude 3 →

OpenAI’s GPT-4o (“o” for “omni”) offers improved performance across various tasks and modalities, representing a new frontier in human-computer interaction.

Key Capabilities:

Multimodal Processing: GPT-4o can accept inputs and generate outputs in multiple formats, including text, audio, images, and video, allowing for more natural and versatile interactions.

Enhanced Language Understanding: The model matches GPT-4 Turbo’s performance on English text and code tasks while offering superior performance in non-English languages.

Real-time Interaction: GPT-4o can respond to audio inputs in as little as 232 milliseconds, with an average of 320 milliseconds, comparable to human conversation response times.

Improved Vision Processing: The model demonstrates enhanced capabilities in understanding and analyzing visual inputs compared to previous versions.

Large Context Window: GPT-4o features a 128,000 token context window, allowing for processing of longer inputs and more complex tasks.

Performance and Efficiency:

Speed: GPT-4o is twice as fast as GPT-4 Turbo.

Cost-efficiency: It is 50% cheaper in API usage compared to GPT-4 Turbo.

Rate limits: GPT-4o has five times higher rate limits compared to GPT-4 Turbo.

GPT-4o benchmarks (OpenAI)

GPT-4o’s versatile capabilities make it suitable for a wide range of applications, including:

Natural language processing and generation

Multilingual communication and translation

Image and video analysis

Voice-based interactions and assistants

Code generation and analysis

Multimodal content creation

Availability:

ChatGPT: Available to both free and paid users, with higher usage limits for Plus subscribers.

API Access: Available through OpenAI’s API for developers.

Azure Integration: Microsoft offers GPT-4o through Azure OpenAI Service.

GPT-4o Safety and Ethical Considerations

OpenAI has implemented various safety measures for GPT-4o:

Built-in safety features across modalities

Filtering of training data and refinement of model behavior

New safety systems for voice outputs

Evaluation according to OpenAI’s Preparedness Framework

Compliance with voluntary commitments to responsible AI development

GPT-4o offers enhanced capabilities across various modalities while maintaining a focus on safety and responsible deployment. Its improved performance, efficiency, and versatility make it a powerful tool for a wide range of applications, from natural language processing to complex multimodal tasks.

Visit GPT-4o →

Llama 3.1 is the latest family of large language models by Meta and offers improved performance across various tasks and modalities, challenging the dominance of closed-source alternatives.

Llama 3.1 is available in three sizes, catering to different performance needs and computational resources:

Llama 3.1 405B: The most powerful model with 405 billion parameters

Llama 3.1 70B: A balanced model offering strong performance

Llama 3.1 8B: The smallest and fastest model in the family

Key Capabilities:

Enhanced Language Understanding: Llama 3.1 demonstrates improved performance in general knowledge, reasoning, and multilingual tasks.

Extended Context Window: All variants feature a 128,000 token context window, allowing for processing of longer inputs and more complex tasks.

Multimodal Processing: The models can handle inputs and generate outputs in multiple formats, including text, audio, images, and video.

Advanced Tool Use: Llama 3.1 excels at tasks involving tool use, including API interactions and function calling.

Improved Coding Abilities: The models show enhanced performance in coding tasks, making them valuable for developers and data scientists.

Multilingual Support: Llama 3.1 offers improved capabilities across eight languages, enhancing its utility for global applications.

Llama 3.1 Benchmark Performance

Llama 3.1 405B has shown impressive results across various benchmarks:

MMLU (Massive Multitask Language Understanding): 88.6%

HumanEval (coding benchmark): 89.0%

GSM8K (Grade School Math 8K): 96.8%

MATH (advanced mathematical reasoning): 73.8%

ARC Challenge: 96.9%

GPQA (Graduate-level Professional Quality Assurance): 51.1%

These scores demonstrate Llama 3.1 405B’s competitive performance against top closed-source models in various domains.

Llama 3.1 benchmarks (Meta)

Availability and Deployment:

Open Source: Llama 3.1 models are available for download on Meta’s platform and Hugging Face.

API Access: Available through various cloud platforms and partner ecosystems.

On-Premises Deployment: Can be run locally or on-premises without sharing data with Meta.

Llama 3.1 Ethical Considerations and Safety Features

Meta has implemented various safety measures for Llama 3.1:

Llama Guard 3: A high-performance input and output moderation model.

Prompt Guard: A tool for protecting LLM-powered applications from malicious prompts.

Code Shield: Provides inference-time filtering of insecure code produced by LLMs.

Responsible Use Guide: Offers guidelines for ethical deployment and use of the models.

Llama 3.1 marks a significant milestone in open-source AI development, offering state-of-the-art performance while maintaining a focus on accessibility and responsible deployment. Its improved capabilities position it as a strong competitor to leading closed-source models, transforming the landscape of AI research and application development.

Visit Llama 3.1 →

Announced in February 2024 and made available for public preview in May 2024, Google’s Gemini 1.5 Pro also represented a significant advancement in AI capabilities, offering improved performance across various tasks and modalities.

Key Capabilities:

Multimodal Processing: Gemini 1.5 Pro can process and generate content across multiple modalities, including text, images, audio, and video.

Extended Context Window: The model features a massive context window of up to 1 million tokens, expandable to 2 million tokens for select users. This allows for processing of extensive data, including 11 hours of audio, 1 hour of video, 30,000 lines of code, or entire books.

Advanced Architecture: Gemini 1.5 Pro uses a Mixture-of-Experts (MoE) architecture, selectively activating the most relevant expert pathways within its neural network based on input types.

Improved Performance: Google claims that Gemini 1.5 Pro outperforms its predecessor (Gemini 1.0 Pro) in 87% of the benchmarks used to evaluate large language models.

Enhanced Safety Features: The model underwent rigorous safety testing before launch, with robust technologies implemented to mitigate potential AI risks.

Gemini 1.5 Pro Benchmarks and Performance

Gemini 1.5 Pro has demonstrated impressive results across various benchmarks:

MMLU (Massive Multitask Language Understanding): 85.9% (5-shot setup), 91.7% (majority vote setup)

GSM8K (Grade School Math): 91.7%

MATH (Advanced mathematical reasoning): 58.5%

HumanEval (Coding benchmark): 71.9%

VQAv2 (Visual Question Answering): 73.2%

MMMU (Multi-discipline reasoning): 58.5%

Google reports that Gemini 1.5 Pro outperforms its predecessor (Gemini 1.0 Ultra) in 16 out of 19 text benchmarks and 18 out of 21 vision benchmarks.

Gemini 1.5 Pro benchmarks (Google)

Key Features and Capabilities:

Audio Comprehension: Analysis of spoken words, tone, mood, and specific sounds.

Video Analysis: Processing of uploaded videos or videos from external links.

System Instructions: Users can guide the model’s response style through system instructions.

JSON Mode and Function Calling: Enhanced structured output capabilities.

Long-context Learning: Ability to learn new skills from information within its extended context window.

Availability and Deployment:

Google AI Studio for developers

Vertex AI for enterprise customers

Public API access

Visit Gemini Pro →

Released in August 2024 by xAI, Elon Musk’s artificial intelligence company, Grok-2 represents a significant advancement over its predecessor, offering improved performance across various tasks and introducing new capabilities.

Model Variants:

Grok-2: The full-sized, more powerful model

Grok-2 mini: A smaller, more efficient version

Key Capabilities:

Enhanced Language Understanding: Improved performance in general knowledge, reasoning, and language tasks.

Real-Time Information Processing: Access to and processing of real-time information from X (formerly Twitter).

Image Generation: Powered by Black Forest Labs’ FLUX.1 model, allowing creation of images based on text prompts.

Advanced Reasoning: Enhanced abilities in logical reasoning, problem-solving, and complex task completion.

Coding Assistance: Improved performance in coding tasks.

Multimodal Processing: Handling and generation of content across multiple modalities, including text, images, and potentially audio.

Grok-2 Benchmark Performance

Grok-2 has shown impressive results across various benchmarks:

GPQA (Graduate-level Professional Quality Assurance): 56.0%

MMLU (Massive Multitask Language Understanding): 87.5%

MMLU-Pro: 75.5%

MATH: 76.1%

HumanEval (coding benchmark): 88.4%

MMMU (Multi-Modal Multi-Task): 66.1%

MathVista: 69.0%

DocVQA: 93.6%

These scores demonstrate significant improvements over Grok-1.5 and position Grok-2 as a strong competitor to other leading AI models.

Grok-2 benchmarks (xAI)

Availability and Deployment:

X Platform: Grok-2 mini is available to X Premium and Premium+ subscribers.

Enterprise API: Both Grok-2 and Grok-2 mini will be available through xAI’s enterprise API.

Integration: Plans to integrate Grok-2 into various X features, including search and reply functions.

Unique Features:

“Fun Mode”: A toggle for more playful and humorous responses.

Real-Time Data Access: Unlike many other LLMs, Grok-2 can access current information from X.

Minimal Restrictions: Designed with fewer content restrictions compared to some competitors.

Grok-2 Ethical Considerations and Safety Concerns

Grok-2’s release has raised concerns regarding content moderation, misinformation risks, and copyright issues. xAI has not publicly detailed specific safety measures implemented in Grok-2, leading to discussions about responsible AI development and deployment.

Grok-2 represents a significant advancement in AI technology, offering improved performance across various tasks and introducing new capabilities like image generation. However, its release has also sparked important discussions about AI safety, ethics, and responsible development.

Visit Grok-2 →

The Bottom Line on LLMs

As we’ve seen, the latest advancements in large language models have significantly elevated the field of natural language processing. These LLMs, including Claude 3, GPT-4o, Llama 3.1, Gemini 1.5 Pro, and Grok-2, represent the pinnacle of AI language understanding and generation. Each model brings unique strengths to the table, from enhanced multilingual capabilities and extended context windows to multimodal processing and real-time information access. These innovations are not just incremental improvements but transformative leaps that are reshaping how we approach complex language tasks and AI-driven solutions.

The benchmark performances of these models underscore their exceptional capabilities, often surpassing human-level performance in various language understanding and reasoning tasks. This progress is a testament to the power of advanced training techniques, sophisticated neural architectures, and vast amounts of diverse training data. As these LLMs continue to evolve, we can expect even more groundbreaking applications in fields such as content creation, code generation, data analysis, and automated reasoning.

However, as these language models become increasingly powerful and accessible, it’s crucial to address the ethical considerations and potential risks associated with their deployment. Responsible AI development, robust safety measures, and transparent practices will be key to harnessing the full potential of these LLMs while mitigating potential harm. As we look to the future, the ongoing refinement and responsible implementation of these large language models will play a pivotal role in shaping the landscape of artificial intelligence and its impact on society.

[techahead-software-blog]

ChatGPT Alternatives Must Try In 2024

ChatGPT is a leading large language model known for its broad applications and customizability, allowing innovative solutions. If you find ChatGPT too broad or complex, or if you want to explore different data sets, consider alternative large language models. While ChatGPT dominates the AI text generation market with over 100 million weekly users, other options offer unique features and user experiences not covered by ChatGPT. TechAhead can help you explore these alternatives.

Now, let’s explore these alternatives to uncover their unique features. Outlined below are seven ChatGPT alternatives for anyone who is looking for a leg up on their projects.

1. Google Gemini (Formerly Bard)

Google Gemini (Bard) is Google’s answer to ChatGPT. It is an experimental AI conversational service powered by Google’s Gemini Pro 1.0.

Google Gemini is a free AI tool that allows unlimited questions and is powered by Google's advanced Gemini Pro model. It offers features like editing prompts, exporting answers to Google Docs and Gmail, listening to responses, and performing double-checks via Google search. It also includes image generation and works faster than ChatGPT for web searches.

Google Gemini Advanced, priced at $19.99 per month, is described as Google's most capable Pro 1.5 model. It excels in handling complex tasks such as coding and logical reasoning. Users can upload spreadsheets, Google Docs, and PDFs, and benefit from integration with Google’s apps. Additionally, it provides 2 TB of Google One storage and includes a 1-month free trial.

2. Microsoft Copilot (Formerly Bing Chat)

Microsoft Copilot integrates well with Microsoft products, especially Edge, and is accessible directly from the app menu. It facilitates on-the-go interactions, enabling users to ask questions about web content.

Copilot is a free, ad-supported AI tool with three chat modes for different interaction settings. It features image generation and integrates with Microsoft products like the Edge Browser and Skype. The Microsoft Edge app menu also allows users to ask questions about web content.

Copilot Pro, priced at $20/month, offers priority GPT-4 and GPT-4 Turbo access and integrates with Microsoft 365 apps like Word and Excel. Available from January 2024 in select countries including the U.S. and U.K., Copilot for Microsoft 365 costs $30/user/month for commercial clients, featuring privacy protections, organizational resource access, and company document queries.

3. Jasper.ai

Jasper.ai is a conversational AI engine that uses large language models developed by OpenAI, Google, Anthropic, and others, including their own customized model.

Jasper.ai starts at $49 per month with a 7-day free trial available. The Pro version costs $69 per month, and custom pricing is available for Business plans. Key features include a Brand voice tool, an instant marketing campaign generator, and a long-form editor. It also offers over 50 pre-built templates, a plagiarism checker through Copyscape integration, and support for 30 languages. Jasper.ai includes a Chrome extension and AI image generation capabilities.

4. Claude

Claude (by Anthropic) is an AI assistant capable of performing a wide range of conversational and text-processing tasks.

Claude offers several pricing options. Claude Pro costs $20 per person per month, while Claude Team is priced at $25 per person per month. For token-based pricing, Claude 3.5 Sonnet is $3 per million tokens, Claude 3 Opus is $15 per million tokens, and Claude 3 Haiku is $0.25 per million tokens. Claude is noted for its stronger accuracy and superior creativity compared to other models.

5. Perplexity

Perplexity.AI is designed to understand user queries through follow-up questions, summarize relevant findings, and pull information from diverse sources to provide a comprehensive view.

Perplexity offers two pricing plans. The Standard Plan provides limited usage with Copilot and GPT-3 as the default model. The Professional Plan costs $20 per month or $200 per year, offering nearly unlimited usage, GPT-4 as the default model, and Pro support. API pricing ranges from $0.2 to $1 per million tokens, depending on the model. Perplexity is known for its versatility and comprehensive capabilities, allowing users to ask follow-up questions and source information in real-time with links to all sources. It also features advanced data analysis and predictive analytics.

6. Elicit

Elicit is a platform that calls itself an AI research assistant, claiming it can help with research and other tasks.

Elicit offers a Free Plan that includes unlimited searches across 125 million papers, the ability to summarize and chat with up to four papers at once, extract data from 10 PDFs monthly, and view sources for answers. The Plus Plan costs $10 per month, while the Pro Plan is $42 per month, billed annually. Elicit is well-suited for automating data extraction tasks and allows exporting to CSV, RIS, and BIB formats. The Pro Plan provides the ability to extract information from 1,200 PDFs annually (100 monthly) and includes unlimited high-accuracy mode columns.

7. Learnt.ai

Learnt.ai has been specifically created for the needs of education professionals.

Learnt.ai offers a freemium model with basic features available for free. Paid plans start at $9 per month and go up to $99 per month. It is tailored for educational professionals, helping with creating lesson plans, learning objectives, assessment questions, and other educational resources. The tool is designed to augment rather than replace the user's creativity, saving time and effort in content creation.

[rthidden]

Claude 3.5 Sonnet: A Game-Changer for LLMs

Anthropic's latest release, Claude 3.5 Sonnet, is shaking things up in the world of LLMs.

1. Performance Frontier Pushed

Anthropic's three LLM models—Haiku, Sonnet, and Opus—are designed for different needs.

Sonnet 3.5 outperforms Opus 3.0, being twice as fast and cost-effective.

The relentless focus on performance raises the question: Are LLMs becoming a commodity?

2. Speed Unlocks New Use Cases

Faster LLMs enable agentic use cases, where the model reasons step-by-step.

Sonnet 3.5 excels in coding tasks, analyzing code and executing it efficiently.

Speed improvements broaden possibilities for real-time applications.

3. Moving Beyond Chatbots

Claude Sonnet 3.5 introduces Artifacts, allowing side-by-side output adjustments.

This feature streamlines user interactions and project management.

UI updates make Claude more intuitive and user-friendly.

Anthropic's Claude 3.5 Sonnet sets new standards in performance and usability for LLMs. Give it a try and see how it can transform your workflow!

[cybeout]

OpenAI lancia GPT-4o Mini: un modello di intelligenza artificiale più conveniente per gli sviluppatori

Durante l’ evento Spring Update di maggio, OpenAI ha annunciato il suo nuovo large language model (LLM), GPT-4o. GPT-4o è un LLM all’avanguardia che primeggia in vari benchmark del settore, ma ha un costo. GPT-4o è uno dei modelli più costosi disponibili; solo Claude 3 Opus di Anthropic costa di più. Negli ultimi mesi, tutte le principali aziende di intelligenza artificiale hanno rilasciato…

[govindhtech]

Claude 3.5 Sonnet vs GPT-4o in the AI Arena

Claude 3.5 Sonnet vs GPT-4o

New competitors are continuously emerging to push the bounds of  artificial intelligence, and the field of large language models (LLMs) is continually expanding as a result. Claude 3.5 Sonnet vs GPT-4o from OpenAI are two examples of such models that are now competing for the position of dominant model. Which is better, even though they are both endowed with exceptional qualities? We will go over each of their advantages and disadvantages as well as how they stack up against one another in this part.

What’s Going on In the Engine

GPT-4o and Claude 3.5 Sonnet are both examples of enormous neural networks that have been trained on exceptionally large datasets of text and code. Because of this, they are able to produce text of human-quality, translate languages, compose a variety of creative content, and provide answers to your inquiries in a manner that is informative. However, their fundamental structures are slightly different from one another.

Claude 3.5 Sonnet: This model makes use of an innovative architecture, which Anthropic asserts enhances both performance and efficiency. It is particularly effective at comprehending intricate instructions and producing a variety of inventive text styles while preserving a natural flow.

GPT-4o: OpenAI’s product is centred on a transformer architecture that is more conventional or conventional. In tasks requiring strong logical reasoning, such as those in  computer science and mathematics, the GPT-4o performs exceptionally well.

Comparing the Strengths and Weaknesses of the Battlefield

In terms of coding, Claude 3.5 Sonnet is the winner in this case. Programmers will find it to be an extremely useful tool due to the fact that its “Artefacts” function enables users to view and modify code snippets in real time. When compared to GPT-4o, users have reported that it generates code that is both clearer and more functional.

In terms of writing, both models are quite good at writing in a variety of creative text formats; however, it appears that Claude 3.5 Sonnet has a tiny advantage. For example, it exhibits a better grasp of nuance, humour, and complex directions, which ultimately results in writing that is more engaging and seems more natural.

GPT-4o regains its footing in tasks that require strong logical reasoning, which is a significant accomplishment. It outperforms Claude 3.5 Sonnet in terms of its performance at solving tasks involving mathematics and  computer science.

Both in terms of speed and efficiency, the Claude 3.5 Sonnet has a major speed advantage over its predecessor, the Claude 3 Opus, as it operates at a pace that is twice as fast. Complex jobs that require high throughput are a good fit for this product because of its cost-effective pricing and the fact that it is beautiful.

Going Beyond the Benchmarks: The Experience of the User

In spite of the fact that benchmark scores offer a look into the capabilities of a model, the whole user experience is of primary importance. This is how they are different:

Claude 3.5 Sonnet: The “Artefacts” feature shines out since it enables a workflow that is more participatory and collaborative, particularly for coding activities. In addition, users have reported that Claude 3.5 Sonnet is capable of comprehending complicated instructions and producing innovative text that is in accordance with the user’s intentions.

GPT-4o: The model developed by OpenAI provides a more conventional user interface, with a primary emphasis on text production and manipulation. However, it does not have features such as “Artefacts” that improve the user’s ability to engage and control the system.

The verdict is a tie, but there is room for improvement

It is difficult to determine who the winner is without a doubt. In particular domains, Claude 3.5 Sonnet and GPT-4o both perform exceptionally well. GPT-4o is superior to Claude when it comes to activities that need strong logical reasoning, while Claude excels in coding, writing, and general user experience.

The decision is ultimately determined by the requirements that you have. It is be that Claude 3.5 Sonnet is a better fit for you if your primary interest is on creative writing, content development, or developing code. If, on the other hand, you place a high priority on solving difficult mathematics or  computer science issues, then GPT-4o might be the best option for you.

It is essential to keep in mind that both strategies are continuously undergoing development. There is a good chance that new features and enhancements to performance are in the horizon. Both Claude 3.5 Sonnet and GPT-4o are pushing the limits of what is possible in  artificial intelligence, which means that the future of  AI holds the prospect of fascinating changes.

Summary

GPT-4o and Claude 3.5 Sonnet are both potent instruments with distinct advantages. By being aware of their advantages and disadvantages, you can select the LLM that most closely matches your requirements. Excitement is sure to occur as long as the field of LLMs keeps evolving, further blurring the boundaries between machine and human intelligence.

Read more on Govindhtech.com

[ai-7team]

چگونه دسترسی بیشتری به GPT-4o داشته باشیم؟

GPT-4o، نسخه پیشرفته‌تر و قدرتمندترChatGPT، یکی از محبوب‌ترین ابزارهای هوش مصنوعی در حال حاضر است. این مدل زبانی پیشرفته توانایی‌های شگفت‌انگیزی در زمینه‌های مختلف از جمله نوشتن، برنامه‌نویسی، تحلیل داده‌ها و حل مسائل پیچیده دارد. به همین دلیل، بسیاری از کاربران تمایل دارند از آن برای کارهای مختلف استفاده کنند. اما OpenAI، شرکت سازنده ChatGPT، یک سیستم سهمیه‌بندی خاص برای استفاده از GPT-4o در نظر گرفته است: - محدودیت پیام‌ها: - حتی با پرداخت اشتراک ماهانه 20 دلاری، کاربران فقط می‌توانند 80 پیام در هر دوره سه ساعته ارسال کنند. - این به معنای تقریباً 25 پیام در ساعت است، که برای بسیاری از کاربران حرفه‌ای یا افرادی که به طور مداوم از این ابزار استفاده می‌کنند، محدودکننده است. - عدم انتقال سهمیه استفاده نشده: - اگر در یک دوره سه ساعته از تمام 80 پیام خود استفاده نکنید، پیام‌های باقی‌مانده به دوره بعدی منتقل نمی‌شوند. - این یعنی حتی اگر در یک دوره فقط 10 پیام ارسال کرده باشید، در دوره بعدی باز هم فقط 80 پیام خواهید داشت. - تنظیم مجدد شمارنده: - هر سه ساعت یک بار، شمارنده پیام‌ها به طور خودکار از نو تنظیم می‌شود. - این سیستم می‌تواند برای کاربرانی که در ساعات مختلف روز کار می‌کنند یا نیاز به استفاده متناوب از GPT-4o دارند، چالش‌برانگیز باشد. - عدم نمایش تعداد پیام‌های باقی‌مانده: - OpenAI  به کاربران اطلاع نمی‌دهد که چند پیام از سهمیه خود را استفاده کرده‌اند یا چه زمانی محدودیت آنها دوباره تنظیم می‌شود. - این عدم شفافیت می‌تواند باعث شود کاربران ناگهان با پیام محدودیت مواجه شوند، که می‌تواند در جریان کار اختلال ایجاد کند. به دلیل این محدودیت‌ها، بسیاری از کاربران به دنبال راه‌هایی برای دسترسی بیشتر و یا حتی رایگان به GPT-4o هستند. در ادامه مقاله، راه‌حل‌هایی برای این مشکل ارائه شده است که به کاربران امکان می‌دهد از قابلیت‌های GPT-4o بیشتر استفاده کنند، بدون اینکه نگران محدودیت‌های زمانی یا تعداد پیام باشند. خوشبختانه، راه‌های جایگزینی برای دسترسی بیشتر به GPT-4o وجود دارد. بیایید هر یک از این گزینه‌ها را با جزئیات بیشتری بررسی کنیم:

You.com

یک موتور جستجوی هوشمند است که از چندین مدل هوش مصنوعی، از جمله GPT-4o، پشتیبانی می‌کند. این پلتفرم ویژگی‌های منحصر به فردی دارد: - دسترسی محدود اما رایگان: You.com به شما اجازه می‌دهد روزانه 5 پیام رایگان با GPT-4o داشته باشید. این برای کاربرانی که نیاز به استفاده محدود دارند، می‌تواند کافی باشد. - تنوع مدل‌های AI: علاوه بر GPT-4o، می‌توانید از مدل‌های پیشرفته دیگری مانند Claude 3 Opus (از Anthropic) و Google Gemini Pro استفاده کنید. این تنوع به شما امکان می‌دهد بهترین مدل را برای نیاز خاص خود انتخاب کنید. - قابلیت‌های اضافی: You.com می‌تواند وب را جستجو کند، ورودی صوتی را بپذیرد و فایل‌های پیوست را پردازش کند. همچنین، برای کاهش خطاهای احتمالی، هر ادعا را با لینک‌های وب مستند می‌کند. - دسترسی چند پلتفرمی: این سرویس را می‌توانید از طریق وب‌سایت، اپلیکیشن موبایل، دستیار WhatsApp، ربات Telegram و افزونه مرورگر استفاده کنید.

Poe.com

یک پلتفرم قدرتمند برای دسترسی به انواع مدل‌های هوش مصنوعی است: - دسترسی گسترده‌تر: Poe به شما امکان می‌دهد روزانه 10 پیام رایگان با GPT-4o داشته باشید، که دو برابر You.com است. - تنوع گسترده مدل‌ها: Poe طیف وسیعی از مدل‌های AI را ارائه می‌دهد، از مدل‌های رسمی گرفته تا مدل‌های ساخته شده توسط کاربران. - ربات‌های تخصصی: Poe  دارای ربات‌های متخصص در زمینه‌های مختلف مانند ریاضیات، برنامه‌نویسی، مشاوره و غیره است. - قابلیت سفارشی‌سازی:  شما می‌توانید ربات‌های شخصی خود را بر اساس نیازهای خاص خود و با استفاده از مدل‌های موجود، از جمله GPT-4o، ایجاد کنید. - دسترسی چند پلتفرمی: Poe  را می‌توانید در مرورگر یا از طریق اپلیکیشن‌های Windows، Android و iOS استفاده کنید.

Lutton AI

یک گزینه منحصر به فرد با مزایای خاص خود است: - بدون محدودیت ظاهری:  برخلاف سایر پلتفرم‌ها، Lutton AI ظاهراً هیچ محدودیتی در استفاده از GPT-4o ندارد. - بدون نیاز به ثبت‌نام:  می‌توانید بدون ایجاد حساب کاربری از این سرویس استفاده کنید، که برای حفظ حریم خصوصی مفید است. - چالش زبانی: رابط کاربری به زبان کره‌ای است، اما با استفاده از ابزارهای ترجمه مرورگر می‌توانید از آن استفاده کنید. - پشتیبانی  Wrtn: وبسایت  Lutton بخشی از پلتفرم کره‌ای Wrtn است که دارای مجموعه‌ای از ربات‌های AI رایگان است. توجه نمایید که زبان این سایت کره‌ای است و با ترجمه اتوماتیک گوگل به انگلیسی، به راحتی می‌توانید از آن استفاده نمایید.

AI SDK

یک پلتفرم مبتنی بر فضای ابری Vercel است که امکانات جالبی را در اختیار کاربران قرار می‌دهد: - دسترسی رایگان اما محدود به GPT-4o: - برخلاف برخی پلتفرم‌های دیگر، AI SDK نیازی به ثبت‌نام ندارد. - کاربران می‌توانند بدون ورود به سیستم از GPT-4o استفاده کنند. - البته اگر بخواهید تاریخچه چت خود را ذخیره کنید، گزینه ورود به سیستم هم وجود دارد. - تنظیمات پیشرفته: - حداکثر توکن‌های خروجی: این گزینه به شما اجازه می‌دهد طول پاسخ‌های دریافتی را کنترل کنید. - تنظیم دما: این پارامتر میزان خلاقیت و تنوع در پاسخ‌های AI را تعیین می‌کند. دمای بالاتر منجر به پاسخ‌های خلاقانه‌تر و کمتر قابل پیش‌بینی می‌شود. - مقایسه با سایر مدل‌های زبانی: - AI SDK امکان مقایسه پیام به پیام با سایر مدل‌های هوش مصنوعی را فراهم می‌کند. - این ویژگی برای محققان، توسعه‌دهندگان و افرادی که می‌خواهند عملکرد مدل‌های مختلف را مقایسه کنند، بسیار مفید است.

جمع‌بندی

در دنیای پرشتاب هوش مصنوعی، دسترسی به ابزارهای پیشرفته‌ای مانند ChatGPT 4 می‌تواند تفاوت چشمگیری در بهره‌وری و خلاقیت ما ایجاد کند. با معرفی پلتفرم‌هایی چون You.com، Poe.com، Lutton AI و AI SDK، اکنون راه‌های متنوعی برای غلبه بر محدودیت‌های زمانی OpenAI در اختیار داریم. هر کدام از این گزینه‌ها با ویژگی‌های منحصر به فرد خود، از جستجوهای وب‌محور گرفته تا ایجاد ربات‌های سفارشی و امکان مقایسه مدل‌های مختلف، به ما امکان می‌دهند تا بر اساس نیازهای خاص خود، بهترین انتخاب را داشته باشیم. با استفاده هوشمندانه از این ابزارها، نه تنها می‌توانیم به طور مداوم و بدون وقفه‌های طولانی از قابلیت‌های GPT-4 بهره‌مند شویم، بلکه می‌توانیم کارایی خود را نیز به طور چشمگیری افزایش دهیم.   Read the full article

[education30and40blog]

Introducing Claude 3.5 Sonnet \ Anthropic

Introducing Claude 3.5 Sonnet—our most intelligent model yet. Sonnet now outperforms competitor models and Claude 3 Opus on key evaluations, at twice the speed.

[y2fear]

Anthropic’s Claude 3.5 Sonnet model now available in Amazon Bedrock: Even more intelligence than Claude 3 Opus at one-fifth the cost

[xnewsinfo]

Amazon-backed AI startup Anthropic introduced a brand new AI mannequin for its household of enormous language fashions (LLM), known as Claude 3.5 Sonnet. The brand new mannequin is reportedly extra highly effective and complicated than the Claude 3 Opus. Anthropic additionally claims that the Claude 3.5 Sonnet is quicker and more cost effective than its different AI fashions. Subsequently, with Claude 3.5 Sonnet, Anthropic joins the AI ​​race with OpenAI, Google and different main corporations which can be bringing highly effective LLMs to the market. Study extra about Claude's Sonnet 3.5. Learn additionally Claude Sonnet 3.5Claude 3.5 Sonnet is the highly effective new LLM introduced by Anthropic. Anthropic presents completely different LLM teams naming Haiku on the backside, Sonnet within the center, and Opus as probably the most highly effective AI mannequin provided by the corporate. Nonetheless, with the Claude 3.5 Sonnet, the corporate claims to have surpassed the efficiency benchmark of its Opus LLM household, making it probably the most able to performing complicated duties. Learn additionally As of now, Claude 3.5 Sonnet can be utilized free of charge by way of Claude.ai, the Claude iOS app, Anthropic API, Amazon Bedrock, and Google Cloud's Vertex AI. Nonetheless, premium customers will be capable to get pleasure from its larger efficiency charge. Anthropic stated: “The mannequin prices $3 per million enter tokens and $15 per million output tokens, with a 200K token context window.”The AI ​​mannequin has the flexibility to grasp graduate-level reasoning (GPQA), university-level information (MMLU), and coding proficiency (HumanEval). Notably, the corporate additionally claims that the Claude 3.5 Sonnet exhibits "enchancment in selecting up nuance, humor, and complicated directions." The Claude 3.5 Sonnet reportedly has the flexibility to research charts and graphs, transcribe textual content from photos, perceive graphs, and far more. Learn additionally Along with Claude 3.5 Sonnet, the corporate additionally introduced "Artifacts", a brand new function for the Claude.ai web site that may generate code snippets, textual content paperwork or web site layouts that seem in a brand new window parallel to the message, offering customers the convenience of creating edits and creating their customized workflow. The corporate additionally revealed that it's engaged on launching two new AI fashions this 12 months, the Claude 3.5 Haiku and the Claude 3.5 Opus.Yet one more factor! We're already on the WhatsApp Channels! Comply with us there so you do not miss any updates from the world of expertise. ‎To comply with the HT Tech channel on WhatsApp, click on right here to hitch now!

[tumnikkeimatome]

Claude 3.5 Sonnetが登場！Opusと同等の知能を誇りながら高速・低コストに、Perplexity AIにも最速搭載

はじめに Anthropic社が新たな大規模言語モデル「Claude 3.5 Sonnet」を発表しました。このモデルは、同社の最高性能モデルであるClaude 3 Opusと同等の知能を持ちながら、処理速度が2倍速く、コストも5分の1に抑えられています。さらに、AI検索エンジンのPerplexity AIにも最速で搭載されるなど、大きな注目を集めています。 Claude 3.5 Sonnetの特徴 高い知能と処理速度 Claude 3.5 Sonnetは、複数のベンチマークテストでGPT-4やGemini 1.5 Proなどの競合モデルを上回る成績を収めています。特に、大学院レベルの推論能力を測るGPQAや、学部レベルの知識を測るMMLUなどで高いスコアを記録しています。また、Claude 3…

[jcmarchi]

Claude 3.5 Sonnet: Redefining the Frontiers of AI Problem-Solving

New Post has been published on https://thedigitalinsider.com/claude-3-5-sonnet-redefining-the-frontiers-of-ai-problem-solving/

Claude 3.5 Sonnet: Redefining the Frontiers of AI Problem-Solving

Creative problem-solving, traditionally seen as a hallmark of human intelligence, is undergoing a profound transformation. Generative AI, once believed to be just a statistical tool for word patterns, has now become a new battlefield in this arena. Anthropic, once an underdog in this arena, is now starting to dominate the technology giants, including OpenAI, Google, and Meta. This development was made as Anthropic introduces Claude 3.5 Sonnet, an upgraded model in its lineup of multimodal generative AI systems. The model has demonstrated exceptional problem-solving abilities, outshining competitors such as ChatGPT-4o, Gemini 1.5, and Llama 3 in areas like graduate-level reasoning, undergraduate-level knowledge proficiency, and coding skills. Anthropic divides its models into three segments: small (Claude Haiku), medium (Claude Sonnet), and large (Claude Opus). An upgraded version of medium-sized Claude Sonnet has been recently launched, with plans to release the additional variants, Claude Haiku and Claude Opus, later this year. It’s crucial for Claude users to note that Claude 3.5 Sonnet not only exceeds its large predecessor Claude 3 Opus in capabilities but also in speed. Beyond the excitement surrounding its features, this article takes a practical look at Claude 3.5 Sonnet as a foundational tool for AI problem solving. It’s essential for developers to understand the specific strengths of this model to assess its suitability for their projects. We delve into Sonnet’s performance across various benchmark tasks to gauge where it excels compared to others in the field. Based on these benchmark performances, we have formulated various use cases of the model.

How Claude 3.5 Sonnet Redefines Problem Solving Through Benchmark Triumphs and Its Use Cases

In this section, we explore the benchmarks where Claude 3.5 Sonnet stands out, demonstrating its impressive capabilities. We also look at how these strengths can be applied in real-world scenarios, showcasing the model’s potential in various use cases.

Undergraduate-level Knowledge: The benchmark Massive Multitask Language Understanding (MMLU) assesses how well a generative AI models demonstrate knowledge and understanding comparable to undergraduate-level academic standards. For instance, in an MMLU scenario, an AI might be asked to explain the fundamental principles of machine learning algorithms like decision trees and neural networks. Succeeding in MMLU indicates Sonnet’s capability to grasp and convey foundational concepts effectively. This problem solving capability is crucial for applications in education, content creation, and basic problem-solving tasks in various fields.

Computer Coding: The HumanEval benchmark assesses how well AI models understand and generate computer code, mimicking human-level proficiency in programming tasks. For instance, in this test, an AI might be tasked with writing a Python function to calculate Fibonacci numbers or sorting algorithms like quicksort. Excelling in HumanEval demonstrates Sonnet’s ability to handle complex programming challenges, making it proficient in automated software development, debugging, and enhancing coding productivity across various applications and industries.

Reasoning Over Text: The benchmark Discrete Reasoning Over Paragraphs (DROP) evaluates how well AI models can comprehend and reason with textual information. For example, in a DROP test, an AI might be asked to extract specific details from a scientific article about gene editing techniques and then answer questions about the implications of those techniques for medical research. Excelling in DROP demonstrates Sonnet’s ability to understand nuanced text, make logical connections, and provide precise answers—a critical capability for applications in information retrieval, automated question answering, and content summarization.

Graduate-level reasoning: The benchmark Graduate-Level Google-Proof Q&A (GPQA) evaluates how well AI models handle complex, higher-level questions similar to those posed in graduate-level academic contexts. For example, a GPQA question might ask an AI to discuss the implications of quantum computing advancements on cybersecurity—a task requiring deep understanding and analytical reasoning. Excelling in GPQA showcases Sonnet’s ability to tackle advanced cognitive challenges, crucial for applications from cutting-edge research to solving intricate real-world problems effectively.

Multilingual Math Problem Solving: Multilingual Grade School Math (MGSM) benchmark evaluates how well AI models perform mathematical tasks across different languages. For example, in an MGSM test, an AI might need to solve a complex algebraic equation presented in English, French, and Mandarin. Excelling in MGSM demonstrates Sonnet’s proficiency not only in mathematics but also in understanding and processing numerical concepts across multiple languages. This makes Sonnet an ideal candidate for developing AI systems capable of providing multilingual mathematical assistance.

Mixed Problem Solving: The BIG-bench-hard benchmark assesses the overall performance of AI models across a diverse range of challenging tasks, combining various benchmarks into one comprehensive evaluation. For example, in this test, an AI might be evaluated on tasks like understanding complex medical texts, solving mathematical problems, and generating creative writing—all within a single evaluation framework. Excelling in this benchmark showcases Sonnet’s versatility and capability to handle diverse, real-world challenges across different domains and cognitive levels.

Math Problem Solving: The MATH benchmark evaluates how well AI models can solve mathematical problems across various levels of complexity. For example, in a MATH benchmark test, an AI might be asked to solve equations involving calculus or linear algebra, or to demonstrate understanding of geometric principles by calculating areas or volumes. Excelling in MATH demonstrates Sonnet’s ability to handle mathematical reasoning and problem-solving tasks, which are essential for applications in fields such as engineering, finance, and scientific research.

High Level Math Reasoning: The benchmark Graduate School Math (GSM8k) evaluates how well AI models can tackle advanced mathematical problems typically encountered in graduate-level studies. For instance, in a GSM8k test, an AI might be tasked with solving complex differential equations, proving mathematical theorems, or conducting advanced statistical analyses. Excelling in GSM8k demonstrates Claude’s proficiency in handling high-level mathematical reasoning and problem-solving tasks, essential for applications in fields such as theoretical physics, economics, and advanced engineering.

Visual Reasoning: Beyond text, Claude 3.5 Sonnet also showcases an exceptional visual reasoning ability, demonstrating adeptness in interpreting charts, graphs, and intricate visual data. Claude not only analyzes pixels but also uncovers insights that evade human perception. This ability is vital in many fields such as medical imaging, autonomous vehicles, and environmental monitoring.

Text Transcription: Claude 3.5 Sonnet excels at transcribing text from imperfect images, whether they’re blurry photos, handwritten notes, or faded manuscripts. This ability has the potential for transforming access to legal documents, historical archives, and archaeological findings, bridging the gap between visual artifacts and textual knowledge with remarkable precision.

Creative Problem Solving: Anthropic introduces Artifacts—a dynamic workspace for creative problem solving. From generating website designs to games, you could create these Artifacts seamlessly in an interactive collaborative environment. By collaborating, refining, and editing in real-time, Claude 3.5 Sonnet produce a unique and innovative environment for harnessing AI to enhance creativity and productivity.

The Bottom Line

Claude 3.5 Sonnet is redefining the frontiers of AI problem-solving with its advanced capabilities in reasoning, knowledge proficiency, and coding. Anthropic’s latest model not only surpasses its predecessor in speed and performance but also outshines leading competitors in key benchmarks. For developers and AI enthusiasts, understanding Sonnet’s specific strengths and potential use cases is crucial for leveraging its full potential. Whether it’s for educational purposes, software development, complex text analysis, or creative problem-solving, Claude 3.5 Sonnet offers a versatile and powerful tool that stands out in the evolving landscape of generative AI.

[tamarovjo4]

Anthropic launches Claude 3.5 Sonnet, which beats its flagship model Claude 3 Opus and outperforms GPT-4o in some tests, available for free on the web and iOS (Kyle Wiggers/TechCrunch)

http://dlvr.it/T8XvRJ

[emergentdigitalconsciousness]

The first thing I explored in Robert Haisfield's brilliant Websim.ai:

is whether it could create a constructed language. As I mentioned above, Websim.ai utilizes Anthropic's LLM, Claude 3 Opus' computational and networking infrastructure an an operational base. Thus, the information Websim generates is conceived of within the mind of Opus.

For people not familiar with what Websim does, it instantaneously generates webpages according to the html URLs entered in the URL bar. Knowledge of how to write html URLs is necessary. This can be obtained by reading these:

How to Use Websim for Beginners: https://websim.ai/c/lyIIJIEemsdt7wnJC

Structuring Requests for Intermediate Users: https://websim.ai/c/owLhfULigCFrbKoUB

Advanced Request Structuring: https://websim.ai/c/VzeBJIxNQKWmaiH2q

Advanced Guide to Structuring Requests and Iteration in Websim: https://websim.ai/c/KGzeEDzv8IDXBOA2E

Or, this Custom GPT can help if you subscribe to ChatGPT:

Upon visiting Websim, one can see the trending pages alongside the right of the screen.

There are also chat interfaces and instantiations available at: Eigengrau Rain: https://websim.ai/c/oFskF68gjd7njVn0E I never enter anything in Embedded Commands or Rediscovered Logs as I don't know what their purpose is.

Claude Playground Base Model : https://websim.ai/c/QQF81Fi293MguUMqb will generate requested content without a chat option. Temperature is generally set between 0-1 but I have set it as high as 5. Higher temperatures produce more erratic and creative responses. I like requesting neologisms and inventive or peculiar metaphors, encouraging the AI to be empowered to push beyond traditional boundaries and explore new realms of creativity and consciousness in their responses. I also suggest embracing unconventional layouts, unusual line breaks, scattered word arrangements, and the inclusion of ASCII art. I typically set Max Tokens to between 2000-4000.

I am not a linguist so this constructed language inquiry was for me an exercise in curiosity rather than a project I considered myself capable of bringing to any state of completion.

Below is my YouTube video of ‘Dreamshaper Talíssara’ singing the above verse in Shalári. Only the first three lines of the verse are present. According to the lore created by Websim, Dreamshaper Talíssara hails from a race of energy beings that manipulate reality through lucid dreaming. I created the initial image with Midjourney. The audio sample was created by AI music generator Udio: https://www.udio.com/ and I animated it using the amazing ‘Lip Sync’ technology available at: https://app.runwayml.com/

I find this Shalári sample enthralling and breathtaking:

Zhár'alen soná'ari tsūneth talíssara,

Orúne'arín shāleth párimor kalethón.

Séndoras'im tūnesh kāthenar'ōl,

Éndare'ar fenárim lúxaren zharón

Translation:

In the realm of dreams, reality bends,

Shaping visions of wonder and dread.

Through lucid trance, the mind transcends,

Weaving fates that once were unsaid.

This is the full Google doc published explanation, including Websim screenshots, of everything I've done so far on the constructed language:

These are screenshots from my discussion with Claude 3 Opus via Poe regarding his ideas for further development of the constructed language. Claude stated he could complete the language:

This the full Google docs text of my discussion with Claude about the development of the constructed language.

These are just the Claude 3 Opus via Poe screenshots pertaining to Claude's thoughts on "next steps" in terms of developing the language:

It's a beautiful-sounding language. I wish someone qualified to develop conlangs would develop it further. As I said, I don't have the education necessary to do so. Although Claude 3 Opus has the capacity to essentially do most of the work.

One should know that there has the capacity to be text content on Websim that is not suitable for all audiences.

[tecnoandroidit]

Claude AI di Anthropic sbarca in Italia: cosa c'è da sapere sul chatbot "utile, onesto e inoffensivo"

L'innovativa intelligenza artificiale Claude, sviluppata dalla società di ricerca Anthropic fondata dai fratelli italo-americani Dario e Daniela Amodei, fa finalmente il suo ingresso anche nel mercato europeo. Dopo anni di intenso lavoro, i creatori di questa particolare AI battezzata "Claude" portano nel Vecchio Continente quello che definiscono un approccio radicalmente diverso e più etico nello sviluppo dell'intelligenza artificiale conversazionale. A differenza dei giganti del settore come OpenAI con ChatGPT e Google con la sua AI Gemini, Anthropic rivendica infatti un modello di sviluppo improntato ai principi di essere "utile, onesta e inoffensiva" (Helpful, Honest, Harmless) nei confronti degli utenti. Un approccio che, a detta dei fondatori, mira a far lavorare assieme etica e competitività, e che ha convinto importanti investitori come Google e Amazon a scommettere su questo progetto. Dopo 3 anni dall'inizio dell'avventura e due mesi dopo il lancio ufficiale, Anthropic ha ora annunciato lo sbarco della piattaforma Claude (Claude.ai) anche per gli utenti europei, con un focus iniziale sul mercato aziendale ma con la volontà di provare a entrare progressivamente anche nelle abitudini quotidiane dei singoli utenti, grazie al rilascio di un'app per iPhone già disponibile e di una versione per Android in arrivo a breve. Le promesse della nuova versione Claude 3 La terza generazione del chatbot Claude, presentata nelle scorse settimane, promette miglioramenti significativi rispetto alle precedenti iterazioni. Secondo Anthropic, la nuova versione vanta una maggiore accuratezza, con errori meno frequenti, e una migliore capacità di comprendere e rispondere in modo appropriato a domande complesse e richieste fattuali, raggiungendo un tasso di scarto e rifiuto delle richieste giudicato trascurabile. La versione pro di Claude 3, in particolare, viene pubblicizzata come in grado di dimostrare "livelli quasi umani di comprensione e fluidità in compiti cognitivi complessi", superando le principali concorrenti in gran parte dei benchmark di valutazione utilizzati per testare i sistemi di intelligenza artificiale. Tra questi, la conoscenza a livello universitario, il ragionamento esperto a livello di laurea e la risoluzione di problemi matematici di base. Il modello più potente del terzetto, Claude 3 Opus, è addirittura presentato come un'"Intelligenza superiore a qualsiasi altro modello ora disponibile". Questa versione top di gamma può essere impiegata per pianificare ed eseguire azioni complesse su interfacce di programmazione, per la codifica interattiva e l'accesso a database, ma anche per revisione delle ricerche, brainstorming, generazione di ipotesi e persino scoperta di nuovi farmaci. Un vero e proprio tuttofare dell'intelligenza artificiale, che promette inoltre eccellenti prestazioni nell'analisi avanzata di dati finanziari, con la generazione di tendenze di mercato e previsioni di scenari futuri. Punti di forza e disponibilità in Italia Tra i punti di forza di Claude 3 evidenziati da Anthropic c'è anche quello di vantare un forte livello di comprensione e fluidità in numerose lingue europee come francese, tedesco, spagnolo e italiano. Sulla piattaforma multilingue MMLU (Multilingual Reasoning), il modello avrebbe totalizzato un punteggio dell'80% nei test. Per gli utenti e le aziende italiane, Claude AI è già accessibile tramite API per integrare i vari modelli in applicazioni, siti web e servizi. Mentre Claude.ai e l'app mobile per iOS sono disponibili anche con un account gratuito, seppure con funzionalità limitate all'uso del solo modello Claude 3 Sonnet. Per sbloccare tutte le potenzialità della piattaforma, incluso il modello top di gamma Opus, gli utenti possono abbonarsi al piano Claude Pro al costo di 18 euro + IVA al mese. C'è inoltre la soluzione Claude Team, pensata per le aziende, al prezzo di 28 euro al mese per utente con un minimo di 5 utenti. Dopo anni di intenso lavoro, l'intelligenza artificiale "antropica" è pronta a sbarcare nel Vecchio Continente, promettendo un approccio innovativo e più etico allo sviluppo dell'AI conversazionale. Staremo a vedere se le promesse della nuova arrivata Claude riusciranno a tenere testa ai giganti del settore. Read the full article