#generative ai api

[protonbits-software1]

Using AI in E-commerce | Generative AI Use Cases for E-commerce

Discover the top 5 use cases for using AI in e-commerce, from personalized shopping to customer support automation. Unlock business potential today!

[milenamdiego]

Tristeza, o Ozzi foi encontrado sem vida. Um gato de rua que eu cuidava. Teria uma adoção prevista para dezembro.

18/11/2024.

A última vez que eu o vi foi em 14 de novembro.

(imagem meramente ilustrativa, criada por AI no whatsapp)

[frog707]

Project update

In June, when I started the jolt-jni open-source software project, I considered it a subsidiary project. However, it proved so absorbing that it soon soaked up most of my attention, leaving little for all my other projects.

This is surprising, since unlike most of my projects, it has no graphical component (yet) meaning no satisfying CGI images to enjoy (and perhaps share on social media).

Also unlike most of my projects, I was coding it from scratch, yet constrained by a preexisting API. In practice, that meant writing a ton of boring boilerplate. Prior to this I'd been scornful of the idea of using AI to generate code. But for generating boilerplate code, I can see that mechanical aids have their place.

Now that the library is about 80% complete, I've turned more of my attention to testing. My progress (measured in lines of code) is much slower. Some days I delete more code than I add. The good news is, I enjoy troubleshooting far more than coding.

For the record, here are the current statistics:

+ 1472 commits

+ Overall 48K lines of code (excluding comments and blanks)

+ 29K lines of Java (including 8K lines of tests and examples)

+ 17K lines of C++

[jcmarchi]

ChatGPT Meets Its Match: The Rise of Anthropic Claude Language Model

New Post has been published on https://thedigitalinsider.com/chatgpt-meets-its-match-the-rise-of-anthropic-claude-language-model/

ChatGPT Meets Its Match: The Rise of Anthropic Claude Language Model

Over the past year, generative AI has exploded in popularity, thanks largely to OpenAI’s release of ChatGPT in November 2022. ChatGPT is an impressively capable conversational AI system that can understand natural language prompts and generate thoughtful, human-like responses on a wide range of topics.

However, ChatGPT is not without competition. One of the most promising new contenders aiming to surpass ChatGPT is Claude, created by AI research company Anthropic. Claude was released for limited testing in December 2022, just weeks after ChatGPT. Although Claude has not yet seen as widespread adoption as ChatGPT, it demonstrates some key advantages that may make it the biggest threat to ChatGPT’s dominance in the generative AI space.

Background on Anthropic

Before diving into Claude, it is helpful to understand Anthropic, the company behind this AI system. Founded in 2021 by former OpenAI researchers Dario Amodei and Daniela Amodei, Anthropic is a startup focused on developing safe artificial general intelligence (AGI).

The company takes a research-driven approach with a mission to create AI that is harmless, honest, and helpful. Anthropic leverages constitutional AI techniques, which involve setting clear constraints on an AI system’s objectives and capabilities during development. This contrasts with OpenAI’s preference for scaling up systems rapidly and dealing with safety issues reactively.

Anthropic raised $300 million in funding in 2022. Backers include high-profile tech leaders like Dustin Moskovitz, co-founder of Facebook and Asana. With this financial runway and a team of leading AI safety researchers, Anthropic is well-positioned to compete directly with large organizations like OpenAI.

Overview of Claude

Claude powered by Claude 2 & Claude 2.1 model, is an AI chatbot designed to collaborate, write, and answer questions, much like ChatGPT and Google Bard.

Claude stands out with its advanced technical features. While mirroring the transformer architecture common in other models, it’s the training process where Claude diverges, employing methodologies that prioritize ethical guidelines and contextual understanding. This approach has resulted in Claude performing impressively on standardized tests, even surpassing many AI models.

Claude shows an impressive ability to understand context, maintain consistent personalities, and admit mistakes. In many cases, its responses are articulate, nuanced, and human-like. Anthropic credits constitutional AI approaches for allowing Claude to conduct conversations safely, without harmful or unethical content.

Some key capabilities demonstrated in initial Claude tests include:

Conversational intelligence – Claude listens to user prompts and asks clarifying questions. It adjusts responses based on the evolving context.

Reasoning – Claude can apply logic to answer questions thoughtfully without reciting memorized information.

Creativity – Claude can generate novel content like poems, stories, and intellectual perspectives when prompted.

Harm avoidance – Claude abstains from harmful, unethical, dangerous, or illegal content, in line with its constitutional AI design.

Correction of mistakes – If Claude realizes it has made a factual error, it will retract the mistake graciously when users point it out.

Claude 2.1

In November 2023, Anthropic released an upgraded version called Claude 2.1. One major feature is the expansion of its context window to 200,000 tokens, enabling approximately 150,000 words or over 500 pages of text.

This massive contextual capacity allows Claude 2.1 to handle much larger bodies of data. Users can provide intricate codebases, detailed financial reports, or extensive literary works as prompts. Claude can then summarize long texts coherently, conduct thorough Q&A based on the documents, and extrapolate trends from massive datasets. This huge contextual understanding is a significant advancement, empowering more sophisticated reasoning and document comprehension compared to previous versions.

Enhanced Honesty and Accuracy

Claude 2.1: Significantly more likely to demur

Significant Reduction in Model Hallucinations

A key improvement in Claude 2.1 is its enhanced honesty, demonstrated by a remarkable 50% reduction in the rates of false statements compared to the previous model, Claude 2.0. This enhancement ensures that Claude 2.1 provides more reliable and accurate information, essential for enterprises looking to integrate AI into their critical operations.

Improved Comprehension and Summarization

Claude 2.1 shows significant advancements in understanding and summarizing complex, long-form documents. These improvements are crucial for tasks that demand high accuracy, such as analyzing legal documents, financial reports, and technical specifications. The model has shown a 30% reduction in incorrect answers and a significantly lower rate of misinterpreting documents, affirming its reliability in critical thinking and analysis.

Access and Pricing

Claude 2.1 is now accessible via Anthropic’s API and is powering the chat interface at claude.ai for both free and Pro users. The use of the 200K token context window, a feature particularly beneficial for handling large-scale data, is reserved for Pro users. This tiered access ensures that different user groups can leverage Claude 2.1’s capabilities according to their specific needs.

With the recent introduction of Claude 2.1, Anthropic has updated its pricing model to enhance cost efficiency across different user segments. The new pricing structure is designed to cater to various use cases, from low latency, high throughput scenarios to tasks requiring complex reasoning and significant reduction in model hallucination rates.

AI Safety and Ethical Considerations

At the heart of Claude’s development is a rigorous focus on AI safety and ethics. Anthropic employs a ‘Constitutional AI’ model, incorporating principles from the UN’s Declaration of Human Rights and Apple’s terms of service, alongside unique rules to discourage biased or unethical responses. This innovative approach is complemented by extensive ‘red teaming’ to identify and mitigate potential safety issues.

Claude’s integration into platforms like Notion AI, Quora’s Poe, and DuckDuckGo’s DuckAssist demonstrates its versatility and market appeal. Available through an open beta in the U.S. and U.K., with plans for global expansion, Claude is becoming increasingly accessible to a wider audience.

Advantages of Claude over ChatGPT

While ChatGPT launched first and gained immense popularity right away, Claude demonstrates some key advantages:

More accurate information

One common complaint about ChatGPT is that it sometimes generates plausible-sounding but incorrect or nonsensical information. This is because it is trained primarily to sound human-like, not to be factually correct. In contrast, Claude places a high priority on truthfulness. Although not perfect, it avoids logically contradicting itself or generating blatantly false content.

Increased safety

Given no constraints, large language models like ChatGPT will naturally produce harmful, biased, or unethical content in certain cases. However, Claude’s constitutional AI architecture compels it to abstain from dangerous responses. This protects users and limits societal harm from Claude’s widespread use.

Can admit ignorance

While ChatGPT aims to always provide a response to user prompts, Claude will politely decline to answer questions when it does not have sufficient knowledge. This honesty helps build user trust and prevent propagation of misinformation.

Ongoing feedback and corrections

The Claude team takes user feedback seriously to continually refine Claude’s performance. When Claude makes a mistake, users can point this out so it recalibrates its responses. This training loop of feedback and correction enables rapid improvement.

Focus on coherence

ChatGPT sometimes exhibits logical inconsistencies or contradictions, especially when users attempt to trick it. Claude’s responses display greater coherence, as it tracks context and fine-tunes generations to align with previous statements.

Investment and Future Outlook

Recent investments in Anthropic, including significant funding rounds led by Menlo Ventures and contributions from major players like Google and Amazon, underscore the industry’s confidence in Claude’s potential. These investments are expected to propel Claude’s development further, solidifying its position as a major contender in the AI market.

Conclusion

Anthropic’s Claude is more than just another AI model; it’s a symbol of a new direction in AI development. With its emphasis on safety, ethics, and user experience, Claude stands as a significant competitor to OpenAI’s ChatGPT, heralding a new era in AI where safety and ethics are not just afterthoughts but integral to the design and functionality of AI systems.

[dwas007]

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[somethingcooltolookat]

This is what Stable Diffusion thinks "leaving reddit" looks like.

[windmillcode]

LibTracker Updates 11/25/24: Simplify Dependency Management with this simple SBOM Tool

We are excited to announce the latest updates to *LibTracker*, our VSCode extension designed for professionals to simplify software bill of materials (SBOM) management. With LibTracker, you can effortlessly analyze and manage your apps, ensuring up-to-date versions, addressing security vulnerabilities, and resolving licensing issues—all at a glance.

Access it here: [LibTracker on VSCode Marketplace](https://marketplace.visualstudio.com/items?itemName=windmillcode-publisher-0.lib-tracker)

### New Features in the Latest Release:

- **Grouped Paths**: Added the ability to associate multiple apps with a root folder, easing project transfers between computers.

- **App Detail Page**:

  - **Subdependency Information**: View detailed info and license info for subdependencies.

  - Toggle between root and subdependency data to explore license and CVE details.

- **Bulk Group Path Update**:

  - Recursively searches for app basenames within directories. or the exact subPath. Can specify a recusion level

### Upcoming Features:

- **App Detail Page Enhancements**:

  - Integration of CVE details for all subdependencies.

  - Search functionality extended to include nested child rows.

  - Expand and collapse all subtables within rows for streamlined navigation.

  - Responsive design updates to allow a card-based layout for improved usability.

- **Toggle Select All Apps**: Introducing a select-all option on the project detail page.

- **Workspace Folder Management**: Development depends on VSCode API’s ability to support VSCode profiles.

- **SBOM Generation**: Investigating whether to retrieve license and CVE details for every version of each package used in the app.

### Future Milestones (Exploring Feasibility):

- **Git Backup Changes**: Enhancements to streamline version control and backup capabilities.

- **AI-Powered Summaries**: Considering automated generation of license and CVE category summaries.

- **Subdependency Navigation**: Exploring the possibility of linking subdependencies in the license pane to their locations in the dependency table

- **Advanced Table Features** - the current package does not support

  - child row search

  - expand and collapse all subtables in a given row

  - responsiveness (remove columns or using cards at a certain viewport)

[engenhariadesoftware]

As Melhores IAs de Conversação com Fala Gratuitas

Introdução às IAs de Conversação com Fala Nos últimos anos, as IAs de conversação com fala têm ganhado destaque em diversas áreas, desde assistentes pessoais até chatbots empresariais, passando por sistemas de automação doméstica. Esses sistemas utilizam tecnologias avançadas de reconhecimento de fala, processamento de linguagem natural (NLP) e síntese de fala (Text-to-Speech) para permitir uma…

[cyberswift-story]

Leveraging AI in Salesforce Development

Artificial Intelligence (AI) is revolutionizing Salesforce development by infusing intelligence into traditional CRM processes. AI allows Salesforce to evolve from a static data management platform into a dynamic, insight-driven system that can predict, recommend, and automate key functions. With AI, Salesforce development is now more about building solutions that are not just reactive but proactive.

Know more at: https://www.cyberswift.com/blog/leveraging-ai-in-salesforce-development/

[jcmarchi]

Claude’s Model Context Protocol (MCP): A Developer’s Guide

New Post has been published on https://thedigitalinsider.com/claudes-model-context-protocol-mcp-a-developers-guide/

Claude’s Model Context Protocol (MCP): A Developer’s Guide

Anthropic’s Model Context Protocol (MCP) is an open-source protocol that enables secure, two-way communication between AI assistants and data sources like databases, APIs, and enterprise tools. By adopting a client-server architecture, MCP standardizes the way AI models interact with external data, eliminating the need for custom integrations for each new data source.

Key Components of MCP:

Hosts: AI applications that initiate connections (e.g., Claude Desktop).

Clients: Systems that maintain one-to-one connections with servers within the host application.

Servers: Systems that provide context, tools, and prompts to clients.

Why MCP Matters?

Simplifies Integrations

Traditionally, connecting AI models to different data sources required custom code and solutions. MCP replaces this fragmented approach with a single, standardized protocol. This simplification accelerates development and reduces the maintenance burden.

Enhances AI Capabilities

By providing AI models with seamless access to diverse data sources, MCP enhances their ability to produce more relevant and accurate responses. This is particularly beneficial for tasks that require real-time data or specialized information.

Promotes Security

MCP is designed with security in mind. Servers control their own resources, eliminating the need to share sensitive API keys with AI providers. The protocol establishes clear system boundaries, ensuring that data access is both controlled and auditable.

Collaboration

As an open-source initiative, MCP encourages contributions from the developer community. This collaborative environment accelerates innovation and increase the range of available connectors and tools.

How MCP Works

Architecture

MCP Architecture

At its core, MCP follows a client-server architecture where a host application can connect to multiple servers. This setup allows AI applications to interact seamlessly with various data sources.

Components:

MCP Hosts: Programs like Claude Desktop, IDEs, or AI tools that want to access resources through MCP.

MCP Clients: Protocol clients that maintain one-to-one connections with servers.

MCP Servers: Lightweight programs that each expose specific capabilities through the standardized Model Context Protocol.

Local Resources: Your computer’s resources (databases, files, services) that MCP servers can securely access.

Remote Resources: Resources available over the internet (e.g., through APIs) that MCP servers can connect to.

Getting Started with MCP

Prerequisites

Claude Desktop App: Available for macOS and Windows.

SDKs: MCP provides SDKs for TypeScript and Python.

Steps to Begin

Install Pre-Built MCP Servers: Start by installing servers for common data sources like Google Drive, Slack, or GitHub through the Claude Desktop app.

Configure the Host Application: Edit the configuration file to include the MCP servers you want to use.

Build Custom MCP Servers: Use the provided SDKs to create servers tailored to your specific data sources or tools.

Connect and Test: Establish a connection between your AI application and the MCP server, and start experimenting.

What’s Happening Under the Hood?

When you interact with an AI application like Claude Desktop using MCP, several processes occur to facilitate communication and data exchange.

1. Server Discovery

Initialization: Upon startup, the MCP host (e.g., Claude Desktop) connects to your configured MCP servers. This establishes the initial communication channels needed for further interactions.

2. Protocol Handshake

Capability Negotiation: The host application and MCP servers perform a handshake to negotiate capabilities and establish a common understanding.

Identification: The host identifies which MCP server can handle a specific request based on the resources or functionalities it exposes.

3. Interaction Flow

Let’s consider an example where you’re querying a local SQLite database through Claude Desktop.

MCP protocol

Step-by-Step Process:

Initialize Connection: Claude Desktop connects to the MCP server configured to interact with SQLite.

Available Capabilities: The MCP server communicates its capabilities, such as executing SQL queries.

Query Request: You prompt Claude Desktop to retrieve data. The host sends a query request to the MCP server.

SQL Query Execution: The MCP server executes the SQL query on the SQLite database.

Results Retrieval: The MCP server retrieves the results and sends them back to Claude Desktop.

Formatted Results: Claude Desktop presents the data to you in a readable format.

More Use Cases

Software Development: Enhance code generation tools by connecting AI models to code repositories or issue trackers.

Data Analysis: Allow AI assistants to access and analyze datasets from databases or cloud storage.

Enterprise Automation: Integrate AI with business tools like CRM systems or project management platforms.

Benefits of the MCP Architecture

Modularity: By separating the host and servers, MCP allows for modular development and easier maintenance.

Scalability: Multiple MCP servers can be connected to a single host, each handling different resources.

Interoperability: Standardizing communication through MCP enables different AI tools and resources to work together seamlessly.

Early Adopters and Community Support

Companies like Replit and Codeium are already adding support for MCP, and organizations like Block and Apollo have implemented it. This growing ecosystem indicates strong industry support and a promising future for MCP.

Resources and Further Reading

Conclusion

The Model Context Protocol is a step forward in simplifying how AI models interact with data sources. By standardizing these connections, MCP not only accelerates development but also enhances the capabilities of AI assistants. Anathopic is doing a great job at providing developers the tools to use AI effectively.

[techdriveplay]

What was Announced at WWDC 2024?

Apple’s Worldwide Developers Conference (WWDC) 2024 is in full swing, and the tech world is buzzing with excitement. This annual event is where Apple unveils its latest innovations across its ecosystem, from operating system updates to groundbreaking new products. Here’s a comprehensive look at the major announcements and features that have been revealed so far. Apple Vision Pro Expansion and…

[orifu]

btw. for the record. i got lumity in infinite craft

i first tried owl + witch and owl + house but neither worked. i got disney and disney+ and did a whole bunch of combinations but that didnt work. then i thought maybe getting gravity falls would be a way of getting toh.

disney + gravity = fall, but gravity + fall doesnt give gravity falls. i thought maybe gravity + oregon could work, and after going through a dysentery and death filled hellscape, i got oregon and was indeed able to create gravity falls.

from there, gravity falls + owl = owl house. using that, its pretty simple to get luz and amity, and you can combine them to get lumity

and as a bonus. fairy pie