NextGenJax: a Comprehensive Analysis of State-of-the-Art Machine Learning Libraries and Models

EasyChair Preprint 14150

Abstract

This report presents an in-depth analysis of several state-of-the-art machine learning libraries and models, including JAX, Flax, DM-Haiku, Optax, Fairscale, Gym, Whisper, Langchain, and RouteLLM. The research aims to provide insights into building NextGenJax, a custom model leveraging the strengths of these libraries. We examine the code, architecture, and functionalities of each library, focusing on their potential contributions to NextGenJax

Keyphrases: Flax, JAX, LangChain, Whisper, dm-haiku, fairscale, machine learning, optax, routellm

@booklet{EasyChair:14150,
  author    = {Swayampakulavsspavana Kasinadhsarma},
  title     = {NextGenJax: a Comprehensive Analysis of State-of-the-Art Machine Learning Libraries and Models},
  howpublished = {EasyChair Preprint 14150},
  year      = {EasyChair, 2024}}