Automate code reviews, patching and documentation with LLM workflows.
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Updated
Jun 11, 2024 - Python
Automate code reviews, patching and documentation with LLM workflows.
🤖 Collect practical AI repos, tools, websites, papers and tutorials on AI. 实用的AI百宝箱 💎
Easy "1-line" calling of all LLMs from OpenAI, MS Azure, AWS Bedrock, GCP Vertex, and Ollama
User-friendly WebUI for LLMs (Formerly Ollama WebUI)
The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM models, execute structured function calls and get structured output. Works also with models not fine-tuned to JSON output and function calls.
Notebooks that use LLMs to work with historical documents and artefacts
C# implementation of LangChain. We try to be as close to the original as possible in terms of abstractions, but are open to new entities.
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
the AI-native open-source embedding database
Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..
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