#Generative-ai-tools
Showing 14 of 14 repositories tagged #generative-ai-tools, ranked by stars
Unified framework for building enterprise RAG pipelines with small, specialized models
List of software that allows searching the web with the assistance of AI: https://hf.co/spaces/felladrin/awesome-ai-web-search
Unified Go interface for Language Model (LLM) providers. Simplifies LLM integration with flexible prompt management and common task functions.
Intelligent LLM-powered git commit message generator that understands your code! Supports multiple languages!
A handy lib for smooth interaction with large language models (LLMs) and crafting AI apps.
A comprehensive learning path and practical guide for Generative AI development with hands-on LangChain implementations and detailed notes.
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.
A Python-Script Based Generative AI platform
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.
A fast, deterministic Python CLI that generates complete YouTube Shorts, TikToks, and landscape videos end-to-end using entirely free AI services.
C.O.R.E. is an all-encompassing cognitive architecture I designed as a system for enabling AI technologies to interact fully as a personalized assistant. Autonomous agentic building, workflows, memory, and evolution is just the beginning of what CORE (Comprehension, Orchestration, Reasoning, Evaluation) can enable with LLM technologies. Vibe coded!
100+ billion unique prompt. Create random prompts to help with learning better prompting techniques. Works with any AI platform!