Stitch simplifies and scales LLM application deployment, reducing infrastructure complexity and costs.
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Updated
Jun 2, 2024 - Python
Stitch simplifies and scales LLM application deployment, reducing infrastructure complexity and costs.
A framework for few-shot evaluation of autoregressive language models.
internet llm - access your ollama (or any other local llm) instance from across the internet
A library to benchmark LLMs via their API exposure. For now, it is vLLM oriented
Automating the deployment of the Takeoff Server on AWS for LLMs
Lightweight and extensible LLM Inference serving benchmark tool written in Rust.
Deep learning environment setups
An unofficial Go port of the official Tavily API Python Wrapper.
You can run any large language model on your local machine with this repository.
A guide on how to run LLMs on intel CPUs
Ray and Anyscale for UC Berkeley AI Hackathon!
A Framework For Intelligence Farming
Okik is serving framework to deploy LLMs and much more.
It is a comprehensive resource hub compiling all LLM papers accepted at the International Conference on Learning Representations (ICLR) in 2024.
A REST API for vLLM, production ready
EmbeddedLLM: API server for Embedded Device Deployment. Currently support IpexLLM/DirectML./CPU
Streaming of LLM responses in realtime using Fastapi and Streamlit.
Building Static Web Applications using Large Language Model. From hand sketched documents, images and screenshots to proper web pages.
A Overview of Efficiently Serving Large Language Models across Edge Devices
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