Idea123's repositories
embedchain
The Open Source RAG framework
promptbench
A unified evaluation framework for large language models
promptflow
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
open-interpreter
OpenAI's Code Interpreter in your terminal, running locally
boa303
repo for demos Unlock insights with AWS GenAI services (re:Invent BOA303)
gpt-engineer
Specify what you want it to build, the AI asks for clarification, and then builds it.
bedrock-claude-chat
AWS-native chatbot using Bedrock + Claude 2
chatgpt_system_prompt
store all agent's system prompt
ChatPDF
Chat with any PDF. Easily upload the PDF documents you'd like to chat with. Instant answers. Ask questions, extract information, and summarize documents with AI. Sources included.
generative-ai
Sample code and notebooks for Generative AI on Google Cloud
mlx-examples
Examples in the MLX framework
screenshot-to-code
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
litellm
Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)
promptbase
All things prompt engineering
privateGPT
Interact with your documents using the power of GPT, 100% privately, no data leaks
llama_index
LlamaIndex (formerly GPT Index) is a data framework for your LLM applications
Awesome-GPT-Store
Custom GPT Store - A collection of major GPTS available in public
anything-llm
Open-source ChatGPT equivalent experience for both open and close source LLMs, embedders, and vector databases. Supports unlimited documents, threads, and concurrent users and management all in a very clean UI.
text-generation-webui
A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
wishful-search
Natural language search for complex JSON arrays, with AI Quickstart.
llama2.c
Inference Llama 2 in one file of pure C
gpt-stats
Stats for Custom Chat GPTs not created by OpenAI
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all