#generativeAi

[jesterbenedicte]

[generativevisions]

Thwart.

[aiguysimagearchive]

[govindhtech]

Obsidian And RTX AI PCs For Advanced Large Language Model

How to Utilize Obsidian‘s Generative AI Tools. Two plug-ins created by the community demonstrate how RTX AI PCs can support large language models for the next generation of app developers.

Obsidian Meaning

Obsidian is a note-taking and personal knowledge base program that works with Markdown files. Users may create internal linkages for notes using it, and they can see the relationships as a graph. It is intended to assist users in flexible, non-linearly structuring and organizing their ideas and information. Commercial licenses are available for purchase, however personal usage of the program is free.

Obsidian Features

Electron is the foundation of Obsidian. It is a cross-platform program that works on mobile operating systems like iOS and Android in addition to Windows, Linux, and macOS. The program does not have a web-based version. By installing plugins and themes, users may expand the functionality of Obsidian across all platforms by integrating it with other tools or adding new capabilities.

Obsidian distinguishes between community plugins, which are submitted by users and made available as open-source software via GitHub, and core plugins, which are made available and maintained by the Obsidian team. A calendar widget and a task board in the Kanban style are two examples of community plugins. The software comes with more than 200 community-made themes.

Every new note in Obsidian creates a new text document, and all of the documents are searchable inside the app. Obsidian works with a folder of text documents. Obsidian generates an interactive graph that illustrates the connections between notes and permits internal connectivity between notes. While Markdown is used to accomplish text formatting in Obsidian, Obsidian offers quick previewing of produced content.

Generative AI Tools In Obsidian

A group of AI aficionados is exploring with methods to incorporate the potent technology into standard productivity practices as generative AI develops and speeds up industry.

Community plug-in-supporting applications empower users to investigate the ways in which large language models (LLMs) might improve a range of activities. Users using RTX AI PCs may easily incorporate local LLMs by employing local inference servers that are powered by the NVIDIA RTX-accelerated llama.cpp software library.

It previously examined how consumers might maximize their online surfing experience by using Leo AI in the Brave web browser. Today, it examine Obsidian, a well-known writing and note-taking tool that uses the Markdown markup language and is helpful for managing intricate and connected records for many projects. Several of the community-developed plug-ins that add functionality to the app allow users to connect Obsidian to a local inferencing server, such as LM Studio or Ollama.

To connect Obsidian to LM Studio, just select the “Developer” button on the left panel, load any downloaded model, enable the CORS toggle, and click “Start.” This will enable LM Studio’s local server capabilities. Because the plug-ins will need this information to connect, make a note of the chat completion URL from the “Developer” log console (“http://localhost:1234/v1/chat/completions” by default).

Next, visit the “Settings” tab after launching Obsidian. After selecting “Community plug-ins,” choose “Browse.” Although there are a number of LLM-related community plug-ins, Text Generator and Smart Connections are two well-liked choices.

For creating notes and summaries on a study subject, for example, Text Generator is useful in an Obsidian vault.

Asking queries about the contents of an Obsidian vault, such the solution to a trivia question that was stored years ago, is made easier using Smart Connections.

Open the Text Generator settings, choose “Custom” under “Provider profile,” and then enter the whole URL in the “Endpoint” section. After turning on the plug-in, adjust the settings for Smart Connections. For the model platform, choose “Custom Local (OpenAI Format)” from the options panel on the right side of the screen. Next, as they appear in LM Studio, type the model name (for example, “gemma-2-27b-instruct”) and the URL into the corresponding fields.

The plug-ins will work when the fields are completed. If users are interested in what’s going on on the local server side, the LM Studio user interface will also display recorded activities.

Transforming Workflows With Obsidian AI Plug-Ins

Consider a scenario where a user want to organize a trip to the made-up city of Lunar City and come up with suggestions for things to do there. “What to Do in Lunar City” would be the title of the new note that the user would begin. A few more instructions must be included in the query submitted to the LLM in order to direct the results, since Lunar City is not an actual location. The model will create a list of things to do while traveling if you click the Text Generator plug-in button.

Obsidian will ask LM Studio to provide a response using the Text Generator plug-in, and LM Studio will then execute the Gemma 2 27B model. The model can rapidly provide a list of tasks if the user’s machine has RTX GPU acceleration.

Or let’s say that years later, the user’s buddy is visiting Lunar City and is looking for a place to dine. Although the user may not be able to recall the names of the restaurants they visited, they can review the notes in their vault Obsidian‘s word for a collection of notes to see whether they have any written notes.

A user may ask inquiries about their vault of notes and other material using the Smart Connections plug-in instead of going through all of the notes by hand. In order to help with the process, the plug-in retrieves pertinent information from the user’s notes and responds to the request using the same LM Studio server. The plug-in uses a method known as retrieval-augmented generation to do this.

Although these are entertaining examples, users may see the true advantages and enhancements in daily productivity after experimenting with these features for a while. Two examples of how community developers and AI fans are using AI to enhance their PC experiences are Obsidian plug-ins.

Thousands of open-source models are available for developers to include into their Windows programs using NVIDIA GeForce RTX technology.

Read more on Govindhtech.com

[aisupersmart]

sparksocial.io On AiSuperSmart Ai Tool Directory

[coffeenuts]

[tilbageidanmark]

Tiny safari animals take over the neighbourhood

[archidottech]

Our latest article is out! The amazing Dr Janet Bastiman is a legend within the AI/ML space and is currently the Chief Data Scientist at Napier AI and the Chair of the Royal Statistical Society's Data and AI Section.

Janet is talking to Richard Stockley, providing her insights into how “intelligence driven” Anti-Money Laundering and compliance technology can rise to the challenges of different payment devices, micmicropayments, and digital currencies.

There are also some juicy AI/ML topics.

[humanly]

#blownglass #blown #mindblown #aifashion #ai #aiart #digitalart #conceptart #pixelart #abstractart #designmidjourney #midjourneyart #midjourneyai #designboom #designmilk #designdaily #generativedesign #generativeai #aigenerated #aidesign #algorithm (at Brooklyn, New York) https://www.instagram.com/p/CqYo7hZugER/?igshid=NGJjMDIxMWI=

[jesterbenedicte]

[thedevmaster-tdm]

You Won't Believe How Easy It Is to Implement Ethical AI

[aiguysimagearchive]

Cuddling with your rival.

[kotobato]

Trying Luma dream machine. It's not a nightmare but a day dream :'(

[govindhtech]

Benefits Of Conversational AI & How It Works With Examples

What Is Conversational AI?

Conversational AI mimics human speech. It’s made possible by Google’s foundation models, which underlie new generative AI capabilities, and NLP, which helps computers understand and interpret human language.

How Conversational AI works

Natural language processing (NLP), foundation models, and machine learning (ML) are all used in conversational AI.

Large volumes of speech and text data are used to train conversational AI systems. The machine is trained to comprehend and analyze human language using this data. The machine then engages in normal human interaction using this information. Over time, it improves the quality of its responses by continuously learning from its interactions.

Conversational AI For Customer Service

With IBM Watsonx Assistant, a next-generation conversational AI solution, anyone in your company can easily create generative AI assistants that provide customers with frictionless self-service experiences across all devices and channels, increase employee productivity, and expand your company.

User-friendly: Easy-to-use UI including pre-made themes and a drag-and-drop chat builder.

Out-of-the-box: Unconventional To better comprehend the context of each natural language communication, use large language models, large speech models, intelligent context gathering, and natural language processing and understanding (NLP, NLU).

Retrieval-augmented generation (RAG): It based on your company’s knowledge base, provides conversational responses that are correct, relevant, and current at all times.

Use cases

Watsonx Assistant may be easily set up to accommodate your department’s unique requirements.

Customer service

Strong client support With quick and precise responses, chatbots boost sales while saving contact center funds.

Human resources

All of your employees may save time and have a better work experience with HR automation. Questions can be answered by staff members at any time.

Marketing

With quick, individualized customer service, powerful AI chatbot marketing software lets you increase lead generation and enhance client experiences.

Features

Examine ways to increase production, enhance customer communications, and increase your bottom line.

Artificial Intelligence

Strong Watsonx Large Language Models (LLMs) that are tailored for specific commercial applications.

The Visual Builder

Building generative AI assistants using to user-friendly interface doesn’t require any coding knowledge.

Integrations

Pre-established links with a large number of channels, third-party apps, and corporate systems.

Security

Additional protection to prevent hackers and improper use of consumer information.

Analytics

Comprehensive reports and a strong analytics dashboard to monitor the effectiveness of conversations.

Self-service accessibility

For a consistent client experience, intelligent virtual assistants offer self-service responses and activities during off-peak hours.

Benfits of Conversational AI

Automation may save expenses while boosting output and operational effectiveness.

Conversational AI, for instance, may minimize human error and expenses by automating operations that are presently completed by people. Increase client happiness and engagement by providing a better customer experience.

Conversational AI, for instance, may offer a more engaging and customized experience by remembering client preferences and assisting consumers around-the-clock when human agents are not present.

Conversational AI Examples

Here are some instances of conversational AI technology in action:

Virtual agents that employ generative AI to support voice or text conversations are known as generative AI agents.

Chatbots are frequently utilized in customer care applications to respond to inquiries and offer assistance.

Virtual assistants are frequently voice-activated and compatible with smart speakers and mobile devices.

Software that converts text to speech is used to produce spoken instructions or audiobooks.

Software for speech recognition is used to transcribe phone conversations, lectures, subtitles, and more.

Applications Of Conversational AI

Customer service: Virtual assistants and chatbots may solve problems, respond to frequently asked questions, and offer product details.

E-commerce: Chatbots driven by AI can help customers make judgments about what to buy and propose products.

Healthcare: Virtual health assistants are able to make appointments, check patient health, and offer medical advice.

Education: AI-powered tutors may respond to student inquiries and offer individualized learning experiences.

In summary

The way to communicate with robots might be completely changed by the formidable technology known as conversational AI. Also can use its potential to produce more effective, interesting, and customized experiences if it comprehend its essential elements, advantages, and uses.

Read more on Govindhech.com

[alexanderrogge]

Hewlett Packard Enterprise - One of two HPE Cray EX supercomputers to exceed an exaflop, Aurora is the second-fastest supercomputer in the world:

https://www.hpe.com/us/en/newsroom/press-release/2024/05/hewlett-packard-enterprise-delivers-second-exascale-supercomputer-aurora-to-us-department-of-energys-argonne-national-laboratory.html

HewlettPackard #HPE #Cray #Supercomputer #Aurora #Exascale #Quintillion #Argonne #HighPerformanceComputing #HPC #GenerativeAI #ArtificialIntelligence #AI #ComputerScience #Engineering

[coffeenuts]