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Kourosh Hakhamaneshi, Rehaan Ahmad |
Aug. 11, 2023 |
5637 |
308 |
| How Ray and Anyscale Make it Easy to Do Massive-Scale Machine Learning on Aerial Imagery |
Richard Decal |
Nov. 08, 2022 |
1563 |
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Tricia Fu |
Nov. 08, 2022 |
1064 |
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| Announcing Ray 2.0 |
Anyscale Ray Team |
Aug. 23, 2022 |
705 |
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| Four Reasons Why Leading Companies Are Betting On Ray |
Zhe Zhang, Ion Stoica, Ben Lorica |
Oct. 19, 2022 |
1580 |
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- |
Aug. 23, 2022 |
827 |
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- |
Aug. 24, 2022 |
557 |
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Goku Mohandas |
Jul. 26, 2023 |
688 |
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Max Pumperla, Marwan Sarieddine |
May. 14, 2024 |
4209 |
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| Ray Summit 2022 stories - ML Platforms |
Anyscale Ray Team |
Mar. 03, 2023 |
628 |
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| Ray Forward 2022 |
Zhe Zhang |
Aug. 18, 2022 |
1855 |
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| How Nixtla uses Ray to accurately predict more than a million time series in half an hour |
Nixtla Team |
Jun. 13, 2022 |
1152 |
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| Ray 1.13: Improving support for shuffling terabyte-scale and larger datasets |
Stephanie Wang, Jiao Dong, Dmitri Gekhtman, Sang Cho |
Jun. 09, 2022 |
680 |
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Toby Rahloff, Phi Nguyen, Alex Streed |
Apr. 14, 2023 |
658 |
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Avnish Narayan, Christy Bergman, Jun Gong |
Jun. 23, 2022 |
874 |
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Chaokun Yang, Yiming Yu |
Jan. 05, 2022 |
2161 |
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| Anyscale Endpoints: Embedding endpoint, Llama-2 70B fine-tuning and improved sign-up experience |
Anyscale team |
Nov. 30, 2023 |
376 |
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Artur Niederfahrenhorst, Kourosh Hakhamaneshi, Rehaan Ahmad |
Sep. 06, 2023 |
3597 |
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Richard Liaw, Cade Daniel, Jules S. Damji, Zhe Zhang |
Feb. 24, 2023 |
1329 |
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Waleed Kadous |
May. 08, 2023 |
1693 |
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Paige Bailey, Richard Liaw, Jian Xiao, Chandler Gibbons |
Apr. 14, 2022 |
570 |
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| Siemens brings reinforcement learning to energy, transportation and logistics |
Erik Martinez |
May. 03, 2022 |
334 |
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| How Spotify Built a Robust Ray Platform with a Frictionless Developer Experience |
Anyscale Ray Team |
Nov. 09, 2023 |
1259 |
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| How continuous batching enables 23x throughput in LLM inference while reducing p50 latency |
Cade Daniel, Chen Shen, Eric Liang, Richard Liaw |
Jun. 22, 2023 |
3568 |
110 |
| Building an LLM open source search engine in 100 lines using LangChain and Ray |
Waleed Kadous |
Apr. 18, 2023 |
1780 |
3 |
| What is hyperparameter tuning? |
Juan Navas |
Feb. 08, 2022 |
1832 |
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| 10 must-attend Ray Summit sessions: Generative AI, scalable ML workloads, and more |
Jules S. Damji, Ben Lorica |
May. 10, 2023 |
1078 |
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| Improve Utilization and Simplify Cluster Management with Anyscale Job Queues |
Dominic Catalano, Alexey Kudinkin |
Jul. 23, 2024 |
735 |
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Mingwei Tian, Chandler Gibbons |
Mar. 09, 2022 |
701 |
1 |
| Ray Summit 2024 Call for Proposals is now open |
Anyscale team |
Apr. 19, 2024 |
264 |
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Simon Mo, Chandler Gibbons |
Mar. 02, 2022 |
1524 |
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| Anyscale and Meta Collaborate to Advance the Llama-2 Ecosystem |
Robert Nishihara, Joe Spisak |
Sep. 07, 2023 |
325 |
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Anyscale Ray Team |
Nov. 20, 2023 |
855 |
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Jiaxin Shan, KubeRay Team |
Apr. 19, 2022 |
524 |
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Amog Kamsetty, Hao Chen, Liguang Xie |
Aug. 14, 2023 |
1872 |
7 |
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Richard Liaw, Jules S. Damji |
Jun. 13, 2023 |
1681 |
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| Llama, Scaling Up LLMs in an Open Ecosystem |
Anyscale Ray Team |
Oct. 16, 2023 |
1246 |
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| Build and Scale a Powerful Query Engine with LlamaIndex and Ray |
Jerry Liu, Amog Kamsetty |
Jun. 26, 2023 |
2524 |
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Matt Connor, Akshay Malik, Cindy Zhang |
Jul. 15, 2024 |
883 |
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Jiao Dong, Hao Zhang, Lianmin Zheng, Jun Gong, Jules S. Damji, Phi Nguyen |
Mar. 22, 2023 |
2713 |
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| Heterogeneous Training Cluster with Ray at Netflix |
Anyscale Ray Team |
Oct. 20, 2023 |
902 |
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| Advances in Foundation Models — Technology, Society, and Applications |
Anyscale Ray Team |
Nov. 03, 2023 |
1460 |
- |
| Ray 2.6 features streaming for Serve and Train and new Multi-GPU Learner API |
Jules S. Damji, Richard Liaw |
Jul. 25, 2023 |
1426 |
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| Reinforcement learning with Deep Q Networks |
Misha Laskin |
Mar. 01, 2022 |
1189 |
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| Comparing LLM performance: Introducing the Open Source Leaderboard for LLM APIs |
Anyscale team |
Dec. 21, 2023 |
1202 |
2 |
| Ray Serve: Tackling the cost and complexity of serving AI in production |
Akshay Malik, Edward Oakes, Phi Nguyen |
Sep. 25, 2023 |
2392 |
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| 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 |
May. 21, 2024 |
4553 |
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| Reinforcement learning based on market simulation at JPMorgan |
Erik Martinez |
May. 03, 2022 |
287 |
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Chandler Gibbons |
Feb. 07, 2022 |
447 |
2 |
| Now Available: The LLM Router Template |
Amjad Almahairi |
Jul. 19, 2024 |
256 |
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Jake Carter, Phi Nguyen |
Nov. 09, 2022 |
622 |
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Phi Nguyen |
Jan. 31, 2023 |
715 |
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| Why I Joined Anyscale: Solving Cutting-Edge Problems in a Time of Enormous Change |
Sidney Rabsatt |
Apr. 19, 2023 |
260 |
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Richard Liaw, Jules S. Damji, Jiajun Yao |
Apr. 27, 2023 |
1692 |
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| Smart supply chain management with reinforcement learning at Dow |
Erik Martinez |
May. 03, 2022 |
329 |
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| Anyscale Endpoints Preview: Fast, Cost-Efficient, and Scalable LLM APIs |
Ameer Haj Ali, Robin Singh |
Aug. 03, 2023 |
363 |
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Artur Niederfahrenhorst, Kourosh Hakhamaneshi |
Feb. 13, 2024 |
2847 |
1 |
| Building Production AI Applications with Ray Serve |
Anyscale Ray Team |
Oct. 24, 2023 |
1213 |
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| How ThirdAI uses Ray for Parallel Training of Billion-Parameter Neural Networks on Commodity CPUs |
Vihan Lakshman, Pratik Pranav, Siddharth Jain, Tharun Medini |
Aug. 29, 2023 |
1643 |
78 |
| Ray 2.7 features major stability improvements to Ray AI Libraries and KubeRay and introduces RayLLM |
Jules S. Damji, Richard Liaw |
Sep. 18, 2023 |
1798 |
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Mark Saroufim, Jules S. Damji |
Mar. 24, 2022 |
1385 |
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| Optimizing LLM Training with Airbnb's Next-Gen ML Platform |
Anyscale Ray Team |
Oct. 30, 2023 |
1048 |
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| Accelerating AI: Harnessing Intel(R) Gaudi(R) 3 with Ray 2.10 |
Ramit Hora |
Apr. 09, 2024 |
596 |
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| Distributed deep learning with Ray Train is now in Beta |
Matthew Deng, Amog Kamsetty, Richard Liaw, Will Drevo |
Jan. 25, 2022 |
2105 |
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Simon Mo, Chandler Gibbons |
Feb. 23, 2022 |
1506 |
2 |
| Ray Serve + FastAPI: The best of both worlds |
Phi Nguyen |
Aug. 02, 2022 |
1229 |
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Alan Guo, Gene Su |
Jul. 18, 2024 |
405 |
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| Cross-modal Search for E-commerce: Building and Scaling a Cross-Modal Image Retrieval App |
Marwan Sarieddine, Natalia Czerep, Mateusz Kwasniak, Artur Zygadło |
Jun. 04, 2024 |
3253 |
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| Ray breaks the $1/TB barrier as the world’s most cost-efficient sorting system |
Frank Sifei Luan, UC Berkeley |
Jan. 25, 2023 |
1257 |
36 |
| Adtriba Accelerates and Advances Media Mix Modeling Using the Anyscale Fully-Managed Ray Platform |
Houssem Eddine Gharbi, Tim Kreienkamp, Phi Nguyen |
Nov. 08, 2022 |
957 |
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| Reinventing Multi-Modal Search with Anyscale and MongoDB |
Marwan Sarieddine, Kamil Kaczmarek |
Jul. 25, 2024 |
5145 |
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Juan Navas, Richard Liaw |
Feb. 09, 2022 |
1305 |
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| Infusing AI and ML into integrated circuit design for faster chip delivery, better chip performance |
IBM Research Team |
Jun. 16, 2022 |
1390 |
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| Practical Data Considerations for Building Production-Ready LLM Applications |
Anyscale Ray Team |
Oct. 19, 2023 |
1116 |
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| Llama 2 is about as factually accurate as GPT-4 for summaries and is 30X cheaper |
Waleed Kadous |
Aug. 23, 2023 |
2933 |
143 |
| New on Anyscale: Debug and Optimize Ray Applications Faster with Structured Logging |
Jiajun Yao, Kai-Hsun Chen |
Jul. 16, 2024 |
449 |
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| Ray Datasets for large-scale machine learning ingest and scoring |
Clark Zinzow, Alex Wu, Jiajun Yao, Eric Liang, Chen Shen |
Feb. 14, 2022 |
1661 |
2 |
| Ray + Arize, Productionize ML for Scale and Usability |
Dat Ngo |
Aug. 22, 2022 |
1828 |
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| Gang Scheduling Ray Clusters on Kubernetes with Multi-Cluster-App-Dispatcher (MCAD) |
Abhishek Malvankar (IBM Research) and Dmitri Gekhtman (Anyscale) |
Nov. 16, 2022 |
1406 |
1 |
| Flexible, cross-language, distributed model inference framework: Ray Serve with Java API |
Tengwei Cai, Yang Liu, Chengxi Luo, Xiaofeng Yang, Simon Mo |
Dec. 13, 2022 |
910 |
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Christy Bergman |
Apr. 06, 2022 |
1114 |
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Anyscale team |
May. 15, 2024 |
624 |
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Anyscale Ray Team |
Nov. 09, 2023 |
1267 |
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Goku Mohandas |
Jun. 17, 2024 |
4910 |
1 |
| Building Context-Aware Reasoning Applications with LangChain and LangSmith |
Anyscale Ray Team |
Oct. 18, 2023 |
1214 |
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Richard Liaw |
Jan. 23, 2023 |
789 |
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Max Pumperla |
Nov. 15, 2023 |
3491 |
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| Introducing RLlib Multi-GPU Stack for Cost Efficient, Scalable, Multi-GPU RL Agents Training |
Avnish Narayan, Kourosh Hakhamaneshi |
Jun. 26, 2023 |
1058 |
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| Building an LLM Router for High-Quality and Cost-Effective Responses |
Amjad Almahairi |
Jul. 01, 2024 |
4430 |
1 |
| An informal introduction to reinforcement learning |
Misha Laskin |
Feb. 22, 2022 |
1187 |
3 |
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Misha Laskin |
Mar. 03, 2022 |
875 |
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Kamil Kaczmarek |
Aug. 13, 2024 |
788 |
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Jules S. Damji, Ben Lorica |
Jun. 01, 2022 |
653 |
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Neelay Shah, Akshay Malik |
Mar. 13, 2024 |
642 |
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Keith Pijanowski, Michael Galarnyk |
Apr. 26, 2022 |
727 |
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| Many Models Batch Training at Scale with Ray Core |
Jules S. Damji, Antoni Baum |
Jan. 19, 2023 |
2178 |
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SangBin Cho, Alan Guo, Ricky Xu, Eric Liang |
Nov. 08, 2022 |
1221 |
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Waleed Kadous, Kourosh Hakhamaneshi |
Jul. 05, 2023 |
1631 |
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| Introducing the Anyscale Snowflake Connector |
Eric Greene |
Jul. 20, 2023 |
745 |
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Yunxuan Xiao, Hao Chen |
May. 09, 2024 |
2176 |
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Jules S. Damji |
Feb. 04, 2022 |
2475 |
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Erik Martinez |
May. 03, 2022 |
364 |
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Sriram Sankar |
Feb. 02, 2022 |
648 |
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Antoni Baum, Eric Liang, Jun Gong, Kai Fricke, Richard Liaw |
Mar. 20, 2023 |
1494 |
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Chandler Gibbons |
Mar. 22, 2022 |
669 |
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Eric Liang, Stephanie Wang, Cheng Su |
May. 11, 2023 |
2067 |
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Mingwei Tian |
Mar. 15, 2022 |
930 |
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Jiao Dong, Shreyas Krishnaswamy, Simon Mo, Edward Oakes |
May. 18, 2022 |
2554 |
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Misha Laskin |
Feb. 24, 2022 |
921 |
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Anyscale Ray Team |
Mar. 16, 2023 |
599 |
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| Foobot optimizes building energy efficiency by training fully autonomous control agents for HVAC systems, bringing energy savings to office buildings, hospitals, schools and commercial buildings. |
Antoine Galataud, Phi Nguyen, Inouk Bourgon, Adrien Lafond |
Dec. 19, 2022 |
751 |
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Phi Nguyen, Max Mergenthaler |
Feb. 02, 2023 |
683 |
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Eric Greene |
Jun. 15, 2023 |
632 |
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Jules S. Damji |
Jan. 12, 2023 |
777 |
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Stephanie Wang, Scott Lee, Cheng Su, Hao Chen, Eric Liang |
Sep. 15, 2023 |
3238 |
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Tyler Faust |
May. 26, 2022 |
271 |
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| Anyscale and Lambda - Addressing AI Scarcity with Engineering |
Anyscale team |
Nov. 21, 2023 |
585 |
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| RAG at Scale: 10x Cheaper Embedding Computations with Anyscale and Pinecone |
Scott Lee, Kyle Huang, Cheng Su, Hao Chen |
Jan. 16, 2024 |
995 |
1 |
| Ray 2.8 features Ray Data extensions, AWS Neuron cores support, and Dashboard improvements |
Jules S. Damji, Richard Liaw |
Nov. 07, 2023 |
791 |
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| Sailing to victory with reinforcement learning |
Erik Martinez |
Feb. 28, 2022 |
449 |
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| Update on Ray CVE-2023-48022: New Verification Tooling Available |
Anyscale team |
Mar. 27, 2024 |
606 |
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| Update on Ray CVEs CVE-2023-6019, CVE-2023-6020, CVE-2023-6021, CVE-2023-48022, CVE-2023-48023 |
Anyscale team |
Nov. 30, 2023 |
508 |
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| Simplify your MLOps with Ray & Ray Serve |
Phi Nguyen |
Jul. 26, 2022 |
1167 |
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| Ray Spotlight Series: Multitenant Serve Applications with Runtime Envs as Containers |
Sam Chan, Cindy Zhang |
Jun. 13, 2024 |
800 |
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| How to fine tune and serve LLMs simply, quickly and cost effectively using Ray + DeepSpeed + HuggingFace |
Waleed Kadous, Jun Gong, Antoni Baum, Richard Liaw |
Apr. 10, 2023 |
2055 |
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| Turbocharge LangChain: guide to 20x faster embedding |
Amog Kamsetty, Philipp Moritz |
May. 03, 2023 |
1934 |
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| Direct Preference Optimization with Synthetic Data on Anyscale |
Franklin Wang, Sumanth Hegde, Kourosh Hakhamaneshi |
Aug. 21, 2024 |
9249 |
1 |
| Model Batch Inference in Ray: Actors, ActorPool, and Datasets |
Eric Liang, Jules S. Damji, Zhe Zhang |
Nov. 03, 2022 |
2084 |
4 |
| Anyscale Endpoints: JSON Mode, Function calling, New models: Llama Guard and Mistral-7B-OpenOrca |
Endpoints Team |
Dec. 12, 2023 |
186 |
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Yi Cheng, Cade Daniel, Chen Shen, Liguang Xie |
Oct. 11, 2023 |
1961 |
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Endpoints Team |
Dec. 12, 2023 |
564 |
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| Scaling Model Batch Inference in Ray: Using Actors, ActorPool, and Ray Data |
Eric Liang, Jules S. Damji, Zhe Zhang |
May. 16, 2023 |
1856 |
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Waleed Kadous |
May. 17, 2023 |
1423 |
95 |
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Archit Kulkarni, Edward Oakes |
May. 05, 2022 |
860 |
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| Three ways to speed up XGBoost model training |
Antoni Baum, Chandler Gibbons |
Feb. 17, 2022 |
1609 |
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| Automatic and optimistic memory scheduling for ML workloads in Ray |
Clarence Ng, Jules S. Damji |
Mar. 02, 2023 |
2423 |
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| Ray Summit 2022 Call for Papers is now open |
Jules S. Damji, Chandler Gibbons |
Mar. 23, 2022 |
585 |
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| Ray Summit 2022 Stories - Large Language Models |
Anyscale Ray Team |
Feb. 16, 2023 |
680 |
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| LLM-based summarization: A case study of human, Llama 2 70b and GPT-4 summarization quality |
Justin Olsson, Waleed Kadous |
Nov. 09, 2023 |
1195 |
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Robert Nishihara |
Jul. 31, 2024 |
743 |
2 |
| Offline Batch Inference: Comparing Ray, Apache Spark, and SageMaker |
Amog Kamsetty, Eric Liang, Jules S. Damji |
May. 04, 2023 |
2042 |
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| Introducing Elastic Distributed Training on Anyscale |
Matthew Deng, Justin Yu |
Jul. 22, 2024 |
478 |
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Juan Navas, Richard Liaw |
Feb. 15, 2022 |
3064 |
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| Why I Joined Anyscale: Powering an Open Source AI Revolution |
Lance Walter |
Apr. 28, 2023 |
799 |
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| Anyscale Endpoints: JSON Mode and Function calling Features |
Endpoints Team |
Dec. 12, 2023 |
2050 |
2 |
| Announcing Anyscale Private Endpoints and Anyscale Endpoints Fine-tuning |
Matt Connor, Robin Singh |
Oct. 24, 2023 |
467 |
3 |
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Yifei Feng, Sriram Sankar, Siddharth Venkatesh, Ameer Haj Ali |
Sep. 14, 2023 |
1868 |
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| Three Key Elements of a Scalable ML Platform |
Phi Nguyen |
Dec. 16, 2022 |
1733 |
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| How Ant Group uses Ray to build a Large-Scale Online Serverless Platform |
Tengwei Cai, Yang Liu, Chengxi Luo, Xiaofeng Yang |
Dec. 12, 2022 |
2353 |
3 |
| Building RAG-based LLM Applications for Production |
Goku Mohandas, Philipp Moritz |
Oct. 25, 2023 |
10794 |
11 |
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Kai Fricke |
Mar. 28, 2023 |
1627 |
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Phi Nguyen |
Jul. 14, 2022 |
959 |
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| Announcing Aviary: Open Source Multi-LLM Serving |
Waleed Kadous |
May. 31, 2023 |
743 |
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Waleed Kadous, Kyle Huang, Wendi Ding, Liguang Xie, Avnish Narayan, Ricky Xu |
Nov. 01, 2023 |
2495 |
2 |
| Ray Spotlight: How we delivered Ray weekly releases |
Sam Chan |
Jun. 25, 2024 |
629 |
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| Inspecting Sewer Line Safety Using Thousands of Hours of Video |
Lance Walter |
May. 22, 2023 |
814 |
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| Training One Million Machine Learning Models in Record Time with Ray |
Eric Liang, Robert Nishihara |
Dec. 17, 2022 |
2124 |
1 |
| Blue River Technology Developers Iterate 2.5X Faster with the Anyscale Fully-Managed Ray Platform |
Uday Kanwar, Deb Daipayan |
Feb. 27, 2023 |
608 |
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| Scaling Embedding Generation Pipelines From Pandas to Ray Data |
Marwan Sarieddine |
Sep. 04, 2024 |
2154 |
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| Fine-tuning Llama-3, Mistral and Mixtral with Anyscale |
Marwan Sarieddine and Kamil Kaczmarek |
Sep. 11, 2024 |
2256 |
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| Building a RAG Batch Inference Pipeline with Anyscale and Union |
Kevin Su and Kai-Hsun Chen |
Sep. 12, 2024 |
1665 |
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| Roblox Guest Blog: Fast and Efficient Online Model Serving |
Younes Abouelnagah |
Sep. 19, 2024 |
2925 |
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| Accelerated Metadata Fetching in Ray Data up to 4.5x Faster on Anyscale |
Balaji Veeramani, Hao Chen, Richard Liaw, Matthew Connor and Praveen Gorthy |
Oct. 01, 2024 |
607 |
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| Anyscale on Kubernetes: Simplifying AI Workloads on User-Managed Infrastructure |
Dominic Catalano and Yifei Feng |
Oct. 01, 2024 |
792 |
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| Anyscale Now Available on AWS Marketplace and Achieves Generative AI Competency |
The Anyscale Team |
Oct. 01, 2024 |
510 |
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Cody Yu, Scott Lee, Ricky Xu, William Lin, Praveen Gorthy and Richard Liaw |
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1180 |
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399 |
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