There are 49 repositories under llm-serving topic.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A high-throughput and memory-efficient inference and serving engine for LLMs
SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.
🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search.
RayLLM - LLMs on Ray
Efficient AI Inference & Serving
LLM (Large Language Model) FineTuning
This is suite of the hands-on training materials that shows how to scale CV, NLP, time-series forecasting workloads with Ray.
Finetune LLMs on K8s by using Runbooks
🪶 Lightweight OpenAI drop-in replacement for Kubernetes
Since the emergence of chatGPT in 2022, the acceleration of Large Language Model has become increasingly important. Here is a list of papers on accelerating LLMs, currently focusing mainly on inference acceleration, and related works will be gradually added in the future. Welcome contributions!
npm like package ecosystem for Prompts 🤖
A collection of all available inference solutions for the LLMs
Friendli: the fastest serving engine for generative AI
A simple service that integrates vLLM with Ray Serve for fast and scalable LLM serving.
A collection of hand on notebook for LLMs practitioner
Deploy and Scale LLM-based applications
A REST API for vLLM, production ready
Awesome-LLM-Productization: a curated list of tools/tricks/news/regulations about AI and Large Language Model (LLM) productization
A Framework For Intelligence Farming
Ray and Anyscale for UC Berkeley AI Hackathon!
It is a comprehensive resource hub compiling all LLM papers accepted at the International Conference on Learning Representations (ICLR) in 2024.
A self-hosted personal chatbot API with FastAPI. It allows you to interact with the Llama2 LLM (and other open-source LLMs) to have natural language conversations, generate text, and perform various language-related tasks.
This repository demonstrates LLM execution on CPUs using packages like llamafile, emphasizing low-latency, high-throughput, and cost-effective benefits for inference and serving.