Learn how to design, develop, deploy and iterate on production-grade ML applications.
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Updated
Jul 26, 2023 - Jupyter Notebook
Learn how to design, develop, deploy and iterate on production-grade ML applications.
the AI-native open-source embedding database
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
The official GitHub page for the survey paper "A Survey of Large Language Models".
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..
Learn how to design, develop, deploy and iterate on production-grade ML applications.
An open-source ChatGPT app with a voice
A distributed system for embedding-based vector retrieval
An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.
Enhanced ChatGPT Clone: Features OpenAI, Bing, Anthropic, PaLM 2, AI model switching, message search, langchain, ChatGPT Plugins, OpenAI Functions, Multi-User System, Presets, completely open-source for self-hosting. More features in development
Label, clean and enrich text datasets with LLMs. Discord: https://discord.gg/fweVnRx6CU
Cost-effective LLM development in any cloud (AWS, GCP, Azure, Lambda, etc).
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