laion.ai is a repository hosting content for the website https://laion.ai. It includes blog posts, markdown files for content editing, and credits to contributors. The content covers various topics such as about page, impressum, FAQ, team list, and blog feed.

This repository contains the source code for the Apache Airflow website, including directories for archived documentation versions, landing pages, license templates, and the Sphinx theme. To work on the site locally, users need to install coreutils, Node.js, NPM, and HUGO, and run specific scripts provided in the repository. Contributors can refer to the contributor's guide for detailed instructions on how to contribute to the website.

ai.robots.txt is an open list of web crawlers associated with AI companies and the training of LLMs to block. Users are encouraged to contribute to and implement this list on their own site. The list includes crawlers sourced from Dark Visitors, and contributors can add information about a crawler by making a pull request with the bot name added to `robots.txt`, `ai.txt`, and any relevant details in `table-of-bot-metrics.md`.

Airdrop-checker is a tool that helps you to check if you are eligible for any airdrops. It supports multiple airdrops, including Altlayer, Rabby points, Zetachain, Frame, Anoma, Dymension, and MEME. To use the tool, you need to install it using npm and then fill the addresses files in the addresses folder with your wallet addresses. Once you have done this, you can run the tool using npm start.

BaoGPT is an AI project designed to facilitate asking questions about YouTube videos. It features a web UI based on Gradio and Discord integration. The tool utilizes a pipeline that routes input questions to either a greeting-like branch or a query & answer branch. The query analysis is performed by the LLM, which extracts attributes as filters and optimizes and rewrites questions for better vector retrieval in the vector DB. The tool then retrieves top-k candidates for grading and outputs final relative documents after grading. Lastly, the LLM performs summarization based on the reranking output, providing answers and attaching sources to the user.

This repository is dedicated to the ANZ LLM Workshop Series, providing a series of notebooks developed and tested on Databricks ML Runtime 14.3. The notebooks cover topics such as setting up HuggingFace models, working with sample documents, constructing RAG architectures, and running applications on the driver node in Databricks. Additionally, the repository offers recordings of past webinars and further reading materials related to LLM.

The llms-txt repository proposes a standardization on using an `/llms.txt` file to provide information to help large language models (LLMs) use a website at inference time. The `llms.txt` file is a markdown file that offers brief background information, guidance, and links to more detailed information in markdown files. It aims to provide concise and structured information for LLMs to access easily, helping users interact with websites via AI helpers. The repository also includes tools like a CLI and Python module for parsing `llms.txt` files and generating LLM context from them, along with a sample JavaScript implementation. The proposal suggests adding clean markdown versions of web pages alongside the original HTML pages to facilitate LLM readability and access to essential information.

This repository is a collection of demos showcasing how to integrate tldraw with an LLM like GPT-4. It serves as a work in progress for inspiration and experimentation. Users can contribute new demos, prompts, strategies, and models. The installation process involves running 'npm install' to install dependencies. Usage instructions include creating OpenAI API keys and assistants on the platform.openai.com website, as well as setting up a '.env' file with necessary credentials. The server can be started with 'npm run dev'. The repository aims to demonstrate the potential synergy between tldraw and GPT-4 for various applications.

This project is an end-to-end pipeline for constructing knowledge graphs from news articles using Neo4j and Diffbot. It also utilizes OpenAI LLMs to generate questions based on the knowledge graph. The application offers news monitoring capabilities, data extraction from text, and organization/personal information enrichment. Users can interact with the chatbot interface to ask questions and receive answers based on the knowledge graph.

Jobber is an AI agent that autonomously searches and applies for jobs on the internet on behalf of the user. By controlling the browser, users can input their resume and preferences, allowing Jobber to work in the background. The tool streamlines the job application process by automating the repetitive task of job hunting and applying, saving users time and effort. Jobber offers a convenient solution for individuals looking to explore job opportunities without the hassle of manual job searching and application submission.

Void is an open-source Cursor alternative, providing a full source code for users to build and develop. It is a fork of the vscode repository, offering a waitlist for the official release. Users can contribute by checking the Project board and following the guidelines in CONTRIBUTING.md. Support is available through Discord or email.

MD-Agent is a LLM-agent based toolset for Molecular Dynamics. It uses Langchain and a collection of tools to set up and execute molecular dynamics simulations, particularly in OpenMM. The tool assists in environment setup, installation, and usage by providing detailed steps. It also requires API keys for certain functionalities, such as OpenAI and paper-qa for literature searches. Contributions to the project are welcome, with a detailed Contributor's Guide available for interested individuals.

Atomic Agents is a modular and extensible framework designed for creating powerful applications. It follows the principles of Atomic Design, emphasizing small and single-purpose components. Leveraging Pydantic for data validation and serialization, the framework offers a set of tools and agents that can be combined to build AI applications. It depends on the Instructor package and supports various APIs like OpenAI, Cohere, Anthropic, and Gemini. Atomic Agents is suitable for developers looking to create AI agents with a focus on modularity and flexibility.

PSAI is a PowerShell module that empowers scripts with the intelligence of OpenAI, bridging the gap between PowerShell and AI. It enables seamless integration for tasks like file searches and data analysis, revolutionizing automation possibilities with just a few lines of code. The module supports the latest OpenAI API changes, offering features like improved file search, vector store objects, token usage control, message limits, tool choice parameter, custom conversation histories, and model configuration parameters.

Vivaria is a web application tool designed for running evaluations and conducting agent elicitation research. Users can interact with Vivaria using a web UI and a command-line interface. It allows users to start task environments based on METR Task Standard definitions, run AI agents, perform agent elicitation research, view API requests and responses, add tags and comments to runs, store results in a PostgreSQL database, sync data to Airtable, test prompts against LLMs, and authenticate using Auth0.

The ChatGPT Telegram Bot is a powerful Telegram bot that utilizes various GPT models, including GPT3.5, GPT4, GPT4 Turbo, GPT4 Vision, DALL·E 3, Groq Mixtral-8x7b/LLaMA2-70b, and Claude2.1/Claude3 opus/sonnet API. It enables users to engage in efficient conversations and information searches on Telegram. The bot supports multiple AI models, online search with DuckDuckGo and Google, user-friendly interface, efficient message processing, document interaction, Markdown rendering, and convenient deployment options like Zeabur, Replit, and Docker. Users can set environment variables for configuration and deployment. The bot also provides Q&A functionality, supports model switching, and can be deployed in group chats with whitelisting. The project is open source under GPLv3 license.

laion.ai is a repository hosting content for the website https://laion.ai. It includes blog posts, markdown files for content editing, and credits to contributors. The content covers various topics such as about page, impressum, FAQ, team list, and blog feed.

The 'carrot' repository on GitHub provides a list of free and user-friendly ChatGPT mirror sites for easy access. The repository includes sponsored sites offering various GPT models and services. Users can find and share sites, report errors, and access stable and recommended sites for ChatGPT usage. The repository also includes a detailed list of ChatGPT sites, their features, and accessibility options, making it a valuable resource for ChatGPT users seeking free and unlimited GPT services.

A Python script leveraging advanced language models to summarize webpages and youtube videos directly from URLs. It integrates with LangChain and ChatOllama for state-of-the-art summarization, providing detailed summaries for quick understanding of web-based documents. The tool offers a command-line interface for easy use and integration into workflows, with plans to add support for translating to different languages and streaming text output on gradio. It can also be used via a web UI using the gradio app. The script is dockerized for easy deployment and is open for contributions to enhance functionality and capabilities.

Removerized is a free AI background remover tool that allows users to effortlessly remove image backgrounds with AI technology. It is a versatile tool suitable for any image and occasion, offering fast and accurate background removal without the need for an internet connection. The tool is user-friendly with a seamless interface, and it is free to use without any hidden costs or usage limits. Removerized is distributed under the GNU General Public License, providing users with the freedom to redistribute and modify the software.

OpenGPT 4o is a free alternative to OpenAI GPT 4o. It offers various features such as free pricing, image and video generation, image QnA, voice and video chat, multilingual support, high customization, and continuous learning capability. The tool aims to provide an alternative to OpenAI GPT 4o with enhanced capabilities and features for users.

Flare is an open-source AI-powered decentralized social network client for Android/iOS/macOS, consolidating multiple social networks into one platform. It allows cross-posting content, ensures privacy, and plans to implement features like mixed timeline, AI-powered functions, and support for various platforms. The project is in active development and aims to provide a seamless social networking experience for users.

Airdrop-tools is a repository containing tools for all Telegram bots. Users can join the Telegram group for support and access various bot apps like Moonbix, Blum, Major, Memefi, and more. The setup requires Node.js and Python, with instructions on creating data directories and installing extensions. Users can run different tools like Blum, Major, Moonbix, Yescoin, Matchain, Fintopio, Agent301, IAMDOG, Banana, Cats, Wonton, and Xkucoin by following specific commands. The repository also provides contact information and options for supporting the creator.

Autogen Studio is a Docker container that provides a platform for running automated tasks using OpenAI API. It allows users to easily set up and manage a workspace for generating content and performing various tasks. The container can be run standalone or using Docker Compose, with options to mount data volumes and configure environment variables. Autogen Studio simplifies the process of leveraging AI capabilities for automating tasks and content generation.

ChatFAQ is an open-source comprehensive platform for creating a wide variety of chatbots: generic ones, business-trained, or even capable of redirecting requests to human operators. It includes a specialized NLP/NLG engine based on a RAG architecture and customized chat widgets, ensuring a tailored experience for users and avoiding vendor lock-in.

AnythingLLM is a full-stack application that enables you to turn any document, resource, or piece of content into context that any LLM can use as references during chatting. This application allows you to pick and choose which LLM or Vector Database you want to use as well as supporting multi-user management and permissions.

This guide is dedicated to Large Language Models (LLMs) that you can run on your home computer. It assumes your PC is a lower-end, non-gaming setup.

Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence. Tap into leading cloud-based services like OpenAI, Microsoft Azure AI, Google Gemini and IBM Watson to augment your WordPress-powered websites. Publish content faster while improving SEO performance and increasing audience engagement. ClassifAI integrates Artificial Intelligence and Machine Learning technologies to lighten your workload and eliminate tedious tasks, giving you more time to create original content that matters.

mikupad is a lightweight and efficient language model front-end powered by ReactJS, all packed into a single HTML file. Inspired by the likes of NovelAI, it provides a simple yet powerful interface for generating text with the help of various backends.

Glide is a cloud-native LLM gateway that provides a unified REST API for accessing various large language models (LLMs) from different providers. It handles LLMOps tasks such as model failover, caching, key management, and more, making it easy to integrate LLMs into applications. Glide supports popular LLM providers like OpenAI, Anthropic, Azure OpenAI, AWS Bedrock (Titan), Cohere, Google Gemini, OctoML, and Ollama. It offers high availability, performance, and observability, and provides SDKs for Python and NodeJS to simplify integration.

ONNX Runtime Generative AI is a library that provides the generative AI loop for ONNX models, including inference with ONNX Runtime, logits processing, search and sampling, and KV cache management. Users can call a high level `generate()` method, or run each iteration of the model in a loop. It supports greedy/beam search and TopP, TopK sampling to generate token sequences, has built in logits processing like repetition penalties, and allows for easy custom scoring.

Firecrawl is an API service that takes a URL, crawls it, and converts it into clean markdown. It crawls all accessible subpages and provides clean markdown for each, without requiring a sitemap. The API is easy to use and can be self-hosted. It also integrates with Langchain and Llama Index. The Python SDK makes it easy to crawl and scrape websites in Python code.