Unified framework for building enterprise RAG pipelines with small, specialized models
-
Updated
Dec 20, 2024 - Python
Unified framework for building enterprise RAG pipelines with small, specialized models
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
A list of software that allows searching the web with the assistance of AI.
Unified Go interface for Language Model (LLM) providers. Simplifies LLM integration with flexible prompt management and common task functions.
Official Omnitool repository
Generative-AI-Playground is a platform for experimenting with different generative models and techniques. It lets you try out advanced technologies like ChatGPT, Bing.AI and Gemini. This playground is a place where people can learn and practice using these models.
You’ll get insights into what generative AI can do, its potential, and its limitations. You’ll delve into real-world applications and learn common use cases.
✨ NovelAI api python sdk, easy to use, modern and user-friendly.
Taught by AI genius Andrew NG, this course entails the cutting edge topics such as, How generative AI works including what it can and can't do, Common uses cases such as Reading, Writing, and Chatting, Life Cycle of GenAI projects, Advanced Technology options such as RAG, Fine tunning, and Pre-Training, Implications of GenAI on business & Society.
Create high-quality images effortlessly for your brand using Fooocus, an advanced image generation software.
ArtyLLama is an experimental AI-powered platform for interactive content creation. It integrates with various AI models (Ollama, OpenAI, Anthropic) to explore natural language-driven development of web experiences, 3D visualizations, and more. Features include real-time AI chat, dynamic model selection, and semantic search across chat history.
100+ billion unique prompt. Create random prompts to help with learning better prompting techniques. Works with any AI platform!
Cognitive CORE is an advanced template for building systems towards achieving Artificial General Intelligence (AGI). It stands for Comprehension, Orchestration, Reasoning, and Evaluation — the four pillars that provide a modular and scalable foundation for autonomous task execution and decision-making using natural language inputs.
A stable diffusion pipeline that generates consecutive sequence of images
Quantum Problem Solver with Circuit Design A Next.js application that allows users to define quantum computing problems and automatically generate quantum circuit designs using the Spark Engine API. Features a dynamic UI, problem type selection, and real-time circuit generation. Deployable on Vercel with serverless functions for API interaction.
Prompty makes it easy to create, manage, debug, and evaluate LLM prompts for your AI applications. Prompty is an asset class and format for LLM prompts designed to enhance observability, understandability, and portability for developers.
A simple key management system for development with LLMs and related cloud services
In this we generate QA pairs from the paragraph content and pdf content
LLM agents for multi-hop question answering (MHQA)
Describe each file of a python project by asking a Generative AI model to generate a natural language explanation of each file
Add a description, image, and links to the generative-ai-tools topic page so that developers can more easily learn about it.
To associate your repository with the generative-ai-tools topic, visit your repo's landing page and select "manage topics."