|
Ray Summit 2024: Breaking Through the AI Complexity Wall
|
The Anyscale Team |
2024-10-03 |
1,600 |
--
|
|
Announcing RayTurbo
|
Akshay Malik, Praveen Gorthy and Richard Liaw |
2024-10-01 |
1,453 |
--
|
|
Enterprise Governance and Observability on Anyscale
|
The Anyscale Team |
2024-10-01 |
479 |
--
|
|
Autoscaling Large AI Models up to 5.1x Faster on Anyscale
|
Christopher Chou, Austin Kuo, Richard Liaw, Edward Oakes and Chris Sivanich |
2024-10-01 |
1,260 |
--
|
|
Anyscale Now on GCP Marketplace
|
The Anyscale Team |
2024-10-01 |
381 |
--
|
|
Anyscale’s New User Experience: A Comprehensive Overview
|
The Anyscale Team |
2024-10-01 |
1,161 |
--
|
|
Ray Data GA
|
Hao Chen, Richard Liaw and Praveen Gorthy |
2024-10-01 |
1,037 |
--
|
|
Batch LLM Inference on Anyscale slashes AWS Bedrock costs by up to 6x
|
Cody Yu, Scott Lee, Ricky Xu, William Lin, Praveen Gorthy and Richard Liaw |
2024-10-01 |
1,180 |
--
|
|
Anyscale Now Available on AWS Marketplace and Achieves Generative AI Competency
|
The Anyscale Team |
2024-10-01 |
510 |
--
|
|
Anyscale on Kubernetes: Simplifying AI Workloads on User-Managed Infrastructure
|
Dominic Catalano and Yifei Feng |
2024-10-01 |
792 |
--
|
|
Accelerated Metadata Fetching in Ray Data up to 4.5x Faster on Anyscale
|
Balaji Veeramani, Hao Chen, Richard Liaw, Matthew Connor and Praveen Gorthy |
2024-10-01 |
607 |
--
|
|
Roblox Guest Blog: Fast and Efficient Online Model Serving
|
Younes Abouelnagah |
2024-09-19 |
2,925 |
--
|
|
Building a RAG Batch Inference Pipeline with Anyscale and Union
|
Kevin Su and Kai-Hsun Chen |
2024-09-12 |
1,665 |
--
|
|
Fine-tuning Llama-3, Mistral and Mixtral with Anyscale
|
Marwan Sarieddine and Kamil Kaczmarek |
2024-09-11 |
2,256 |
--
|
|
Scaling Embedding Generation Pipelines From Pandas to Ray Data
|
Marwan Sarieddine |
2024-09-04 |
2,154 |
--
|
|
Direct Preference Optimization with Synthetic Data on Anyscale
|
Franklin Wang, Sumanth Hegde, Kourosh Hakhamaneshi |
2024-08-21 |
9,249 |
1
|
|
Don’t Miss: Hands-On Ray Training at Ray Summit 2024
|
Kamil Kaczmarek |
2024-08-13 |
788 |
--
|
|
Welcome Keerti
|
Robert Nishihara |
2024-07-31 |
743 |
2
|
|
Reinventing Multi-Modal Search with Anyscale and MongoDB
|
Marwan Sarieddine, Kamil Kaczmarek |
2024-07-25 |
5,145 |
--
|
|
Improve Utilization and Simplify Cluster Management with Anyscale Job Queues
|
Dominic Catalano, Alexey Kudinkin |
2024-07-23 |
735 |
--
|
|
Introducing Elastic Distributed Training on Anyscale
|
Matthew Deng, Justin Yu |
2024-07-22 |
478 |
--
|
|
Now Available: The LLM Router Template
|
Amjad Almahairi |
2024-07-19 |
256 |
--
|
|
Introducing Anyscale’s Unified Log Viewer
|
Alan Guo, Gene Su |
2024-07-18 |
405 |
--
|
|
New on Anyscale: Debug and Optimize Ray Applications Faster with Structured Logging
|
Jiajun Yao, Kai-Hsun Chen |
2024-07-16 |
449 |
--
|
|
Deploy Ray Serve with up to 50% fewer nodes using Anyscale Replica Compaction
|
Matt Connor, Akshay Malik, Cindy Zhang |
2024-07-15 |
883 |
--
|
|
Building an LLM Router for High-Quality and Cost-Effective Responses
|
Amjad Almahairi |
2024-07-01 |
4,430 |
1
|
|
Ray Spotlight: How we delivered Ray weekly releases
|
Sam Chan |
2024-06-25 |
629 |
--
|
|
End-to-end LLM Workflows Guide
|
Goku Mohandas |
2024-06-17 |
4,910 |
1
|
|
Ray Spotlight Series: Multitenant Serve Applications with Runtime Envs as Containers
|
Sam Chan, Cindy Zhang |
2024-06-13 |
800 |
--
|
|
Cross-modal Search for E-commerce: Building and Scaling a Cross-Modal Image Retrieval App
|
Marwan Sarieddine, Natalia Czerep, Mateusz Kwasniak, Artur Zygadło |
2024-06-04 |
3,253 |
--
|
|
We Pre-Trained Stable Diffusion Models on 2 billion Images and Didn't Break the Bank - Definitive Guides with Ray Series
|
Max Pumperla, Marwan Sarieddine |
2024-05-21 |
4,553 |
--
|
|
Easily Debug Ray Applications with Ray Distributed Debugger
|
Anyscale team |
2024-05-15 |
624 |
--
|
|
Processing 2 Billion Images for Stable Diffusion Model Training - Definitive Guides with Ray Series
|
Max Pumperla, Marwan Sarieddine |
2024-05-14 |
4,209 |
--
|
|
Reducing the Cost of Pre-training Stable Diffusion by 3.7x with Anyscale
|
Yunxuan Xiao, Hao Chen |
2024-05-09 |
2,176 |
5
|
|
Ray Summit 2024 Call for Proposals is now open
|
Anyscale team |
2024-04-19 |
264 |
--
|
|
Accelerating AI: Harnessing Intel(R) Gaudi(R) 3 with Ray 2.10
|
Ramit Hora |
2024-04-09 |
596 |
--
|
|
Update on Ray CVE-2023-48022: New Verification Tooling Available
|
Anyscale team |
2024-03-27 |
606 |
--
|
|
Low-latency Generative AI Model Serving with Ray, NVIDIA Triton Inference Server, and NVIDIA TensorRT-LLM
|
Neelay Shah, Akshay Malik |
2024-03-13 |
642 |
--
|
|
Fine-tuning LLMs for longer context and better RAG systems
|
Artur Niederfahrenhorst, Kourosh Hakhamaneshi |
2024-02-13 |
2,847 |
1
|
|
RAG at Scale: 10x Cheaper Embedding Computations with Anyscale and Pinecone
|
Scott Lee, Kyle Huang, Cheng Su, Hao Chen |
2024-01-16 |
995 |
1
|
|
Comparing LLM performance: Introducing the Open Source Leaderboard for LLM APIs
|
Anyscale team |
2023-12-21 |
1,202 |
2
|
|
Anyscale Endpoints: JSON Mode and Function calling Features
|
Endpoints Team |
2023-12-12 |
2,050 |
2
|
|
Portkey ♥️ Anyscale Endpoints
|
Endpoints Team |
2023-12-12 |
564 |
--
|
|
Anyscale Endpoints: JSON Mode, Function calling, New models: Llama Guard and Mistral-7B-OpenOrca
|
Endpoints Team |
2023-12-12 |
186 |
--
|
|
Update on Ray CVEs CVE-2023-6019, CVE-2023-6020, CVE-2023-6021, CVE-2023-48022, CVE-2023-48023
|
Anyscale team |
2023-11-30 |
508 |
--
|
|
Anyscale Endpoints: Embedding endpoint, Llama-2 70B fine-tuning and improved sign-up experience
|
Anyscale team |
2023-11-30 |
376 |
--
|
|
Anyscale and Lambda - Addressing AI Scarcity with Engineering
|
Anyscale team |
2023-11-21 |
585 |
--
|
|
Open Source LLMs: Viable for Production or a Low-Quality Toy?
|
Anyscale Ray Team |
2023-11-20 |
855 |
--
|
|
Building an LLM-powered GitHub bot to improve your pull requests
|
Max Pumperla |
2023-11-15 |
3,491 |
--
|
|
LLM-based summarization: A case study of human, Llama 2 70b and GPT-4 summarization quality
|
Justin Olsson, Waleed Kadous |
2023-11-09 |
1,195 |
1
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