The ray from sumanthrh

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Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

License: Apache License 2.0

Shell 0.49% JavaScript 0.01% C++ 18.80% Python 73.67% C 0.10% Java 3.07% PowerShell 0.01% TypeScript 1.67% CSS 0.01% HTML 0.01% Cython 0.96% Dockerfile 0.09% Roff 0.01% Starlark 1.09% Jinja 0.03%

ray's Introduction

Hi there 👋

😄 I'm Sumanth, a software engineer at Anyscale. My primary interests are broadly in machine learning and systems engineering.
🚀 I'm trying to understand generative models, and have worked on finetuning and in-context learning for language models. Addicted to compute 🤖
💻 I've made open-source contributions to 🤗 PEFT and Accelerate.
🌱 I'm trying to learn what it takes to build machine learning systems in practice.
✨ I have a blog: https://sumanthrh.com
💬 Some samples of my work:
- Everything about distributed training and efficient finetuning: https://sumanthrh.com/post/distributed-and-efficient-finetuning/
- Everything about tokenization: https://github.com/SumanthRH/tokenization
📫 You can reach out to me at [email protected]
⚡ Fun fact: Give me any song with a moderate tempo and I can whistle it 🎶
Other GitHub accounts: c3-sumanthrh

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