27
2
Massively Parallel Agentic Simulations with Ray (anyscale.com)
1
Deploy DeepSeek‑R1 with VLLM and Ray Serve on Kubernetes (anyscale.com)
1
An Open Source Stack for AI Compute: Kubernetes and Ray and PyTorch and VLLM (anyscale.com)
1
Native LLM APIs in Ray Data and Ray Serve (anyscale.com)
2
Joins and Hash-Shuffle in Ray Data (anyscale.com)
2
AsyncFlow: An Asynchronous Streaming RL Framework for LLM Post-Training (arxiv.org)
1
Open Source RL Libraries for LLMs (anyscale.com)
1
Large-Scale Deployment of Ray in Tencent's Weixin AI Infrastructure (anyscale.com)
17
Uv and Ray: Pain-Free Python Dependencies in Clusters (anyscale.com)
1
Roll: Reinforcement Learning Optimization for Large-Scale Learning (github.com/alibaba)
1
An Open Source Stack for AI Compute: Kubernetes and Ray and PyTorch and VLLM (anyscale.com)
1
Uv and Ray: Pain-Free Python Dependencies in Clusters (anyscale.com)
1
Ray Batch Inference at Pinterest (Part 3) (medium.com/pinterest-engineering)
1
Direct Preference Optimization with Synthetic Data on Anyscale (anyscale.com)
1
Building an LLM Router for High-Quality and Cost-Effective Responses (anyscale.com)
1
Ray Infrastructure at Pinterest (medium.com/pinterest-engineering)
2
Lessons from training a Stable Diffusion model on 2B images (anyscale.com)
1
Canva Built a Modern AI Platform Using Anyscale (anyscale.com)
2
Building RAG-Based LLM Applications for Production (anyscale.com)
1
Fine-tuning LLMs for longer context and better RAG systems (anyscale.com)
2
Two-day hands-on RAG Bootcamp for developers (twitter.com/martin_casado)
1
RAG at Scale: 10x Cheaper Embedding Computations with Anyscale and Pinecone (anyscale.com)
1
Comparing LLM Performance: Introducing the Open Source Leaderboard for LLM APIs (anyscale.com)
2
LLMPerf Leaderboard (github.com/ray-project)
2
Anyscale Endpoints: JSON Mode and Function Calling Features (anyscale.com)
1
LLM summarization: A case study of human, Llama-2, & GPT-4 summarization quality (anyscale.com)
2
Reproducible Performance Metrics for LLM Inference (anyscale.com)
1
Building Rag-Based LLM Applications for Production (anyscale.com)
1
Anyscale Endpoints: LLM inference and fine-tuning (anyscale.com)
1
Anyscale Private Endpoints and Anyscale Endpoints Fine-Tuning (anyscale.com)
3
Loading Llama-2 70B 20x faster with Anyscale Endpoints (anyscale.com)
50
A Comprehensive Guide for Building Rag-Based LLM Applications (github.com/ray-project)
6
Llama 2 is about as factually accurate as GPT-4 for summaries and is 30X cheaper (anyscale.com)
2
Nearly all LLMs will be multi-modal (twitter.com/robertnishihara)
4
ByteDance Scales Offline Inference with Multi-Modal LLMs to 200 TB Data (anyscale.com)
95
Fine-Tuning Llama-2: A Comprehensive Case Study for Tailoring Custom Models (anyscale.com)
1
Distributed Machine Learning at Instacart (instacart.com)
2
ChatGPT got all the buzz, but beneath it is a $1B developer framework (businessinsider.com)
1