Stitch simplifies and scales LLM application deployment, reducing infrastructure complexity and costs.
-
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
Deep learning environment setups
Lightweight and extensible LLM Inference serving benchmark tool written in Rust.
Automating the deployment of the Takeoff Server on AWS for LLMs
A guide on how to run LLMs on intel CPUs
You can run any large language model on your local machine with this repository.
Ray and Anyscale for UC Berkeley AI Hackathon!
A Framework For Intelligence Farming
Okik is a command-line interface (CLI) tool for LLM, RAG and model serving.
It is a comprehensive resource hub compiling all LLM papers accepted at the International Conference on Learning Representations (ICLR) in 2024.
A Overview of Efficiently Serving Large Language Models across Edge Devices
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.
This repository demonstrates LLM execution on CPUs using packages like llamafile, emphasizing low-latency, high-throughput, and cost-effective benefits for inference and serving.
A Production-Ready, Scalable RAG-powered LLM-based Context-Aware QA App
A REST API for vLLM, production ready
An Easy-to-use Knowledge Editing Framework for LLMs.
Add a description, image, and links to the llm-serving topic page so that developers can more easily learn about it.
To associate your repository with the llm-serving topic, visit your repo's landing page and select "manage topics."