Ray RLlib

Ray Train

Ray Datasets

RayDP

Retail

Gaming

Government

Financial

Ray Serve

Anyscale

Ray Core

Healthcare

Technology

Ray Tune

News

User Story

Engineering

Culture

Juan Navas

Richard Liaw

Richard Liaw headshot

Explore a practical hands-on case showing how to tune hyperparameters on XGBoost. Learn how to easily deploy and optimize ML models.

hands-on-hyperparameter-tuning-MNIST-samples

Guide to XGBoost Hyperparameter Tuning

How to tune hyperparameters on XGBoost

Matthew Deng

Amog Kamsetty

Will Drevo

Distributed Deep Learning with Ray Train is Now In Beta

Distributed deep learning with Ray Train is now in Beta

Qingyun Wu

Chi Wang

Antoni Baum

Michael Galarnyk

FLAML XGBOOST Ray Tune

Fast AutoML with FLAML + Ray Tune

Ray Lightning

Introducing Ray Lightning: Multi-node PyTorch Lightning training made easy

Kai Fricke

XGBoost-Ray

Introducing Distributed XGBoost Training with Ray

Hao Zhang

Sender Receiver (Introducing Collective Communication Primitive APIs in Ray)

Introducing Collective Communication Primitive APIs in Ray

Robert Nishihara

PyTorch + Ray

Getting Started with Distributed Machine Learning with PyTorch and Ray

Bill Chambers

Jieru Hu

Hydra+Ray (Anyscale)

Configuring and Scaling ML with Hydra + Ray

ray-hf-header

Hyperparameter Search with Hugging Face Transformers

Ray Summit 2024, the annual Ray community conference, is back in San Francisco, CA this September 30th through October 2nd. It is a two-day event with a third day dedicated to training.

Call for Proposals is open Blog Post

Ray Summit 2024 Call for Proposals is now open

Intel and Anyscale have integrated Ray with Gaudi3. Gaudi3 is AI-optimized for efficient training and other machine learning workloads.

Anyscale - Intel

Accelerating AI: Harnessing Intel(R) Gaudi(R) 3 with Ray 2.10

Anyscale is teaming with NVIDIA to combine the developer productivity of Ray Serve and RayLLM with the cutting-edge optimizations from NVIDIA Triton Inference Server software and the NVIDIA TensorRT-LLM library.

NVIDIA-Anyscale Logo 1280x680.jpg

Low-latency Generative AI Model Serving with Ray, NVIDIA Triton Inference Server, and NVIDIA TensorRT-LLM

Generating embeddings is a critical task for developing successful RAG applications, and Anyscalew with Pinecone is the most cost-efficient solution for this workflow.

blog-anyscale-pincone

RAG at Scale: 10x Cheaper Embedding Computations with Anyscale and Pinecone

This section is used to order the "Types" and "Tags" that show up for filters on the Blog Index

Types

Products / Libraries

Blog

Hosted Anyscale is in Private Preview. Click here to request access!

Anyscale is the leading AI application platform. With Anyscale, developers can build, run and scale AI applications instantly.

Posts by Richard Liaw

No posts found.