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Ravi ManjunathaUsing RAY for working on Large Language Models, a great hope of Scale and less Ops!While working with Large Language Models, one is often looking for easier ways to distribute computing, deploy code and ensure there are…Nov 4
Soumit Salman RahmanReinventing The Wheel: OpenAI APIs Through Go — Part 1Dude! There is a WHOLE bank of libraries for that in python. What conceivable reason do you have to do this in Go?Feb 3
Patricio Cerda-MardiniFine-tuning a Mistral Language Model with AnyscaleAn exploration of how fine-tuning affects the behavior of large language models, courtesy of Mistral, Anyscale and MindsDB.Jan 17
Vishnu DevaKubeRay vs Ray Clusters on Cloud VMs | Ray ChroniclesBoth solutions show a lot of promise. This article helps you choose one of them to take to production today.Aug 23, 20231
InSnowflake Builders Blog: Data Engineers, App Developers, AI/ML, & Data SciencebyPuneet LakhanpalRun multi-node, multi-GPU Ray inside SnowflakeOpinions expressed in this post are solely my own and do not represent the views or opinions of my employer.Nov 13, 20231
InKoçDigitalbyErkin SagirogluUsing Ray for Time Series Forecasting At ScaleDistributed computing is not really a “should” but rather a must for the majority of today’s machine learning workflows most of which are…Feb 4, 2022
Lakshmi narayana .UOptimizing LLM Deployment: Exploring the Integration of Anyscale with Weights & BiasesFrom Local to cloudNov 4, 2023
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