Published Mar 4, 2024
OLMo: Everything You Need to Train an Open Source LLM with Akshita Bhagia - 674
Akshita Bhagia from the Allen Institute for AI unveils OLMo, an open-source language model initiative that prioritizes transparency, collaboration, and innovation in AI research by offering model weights, datasets, and cutting-edge tools for diverse domain evaluation, with an emphasis on overcoming training challenges and guiding future research.

Topics covered
Popular Clips
Episode Highlights
Related Episodes


Machine Learning at GitHub with Omoju Miller - #313
Answers 383 questions

An Agentic Mixture of Experts for DevOps with Sunil Mallya - 708
Answers 383 questions

The Enterprise LLM Landscape with Atul Deo - 640
Answers 383 questions

Building LLM-Based Applications with Azure OpenAI with Jay Emery - 657
Answers 383 questions

AutoML for Natural Language Processing with Abhishek Thakur - #475
Answers 383 questions

Dissecting the Controversy around OpenAI's New Language Model
Answers 383 questions

Interactive Machine Learning Systems with Alekh Agarwal - #17
Answers 383 questions

AI Agents and Data Integration with GPT and LLaMa with Jerry Liu - 628
Answers 383 questions

Open Source Generative AI at Hugging Face with Jeff Boudier - 624
Answers 383 questions

Evolving MLOps Platforms for Generative AI and Agents with Abhijit Bose - 714
Answers 383 questions

Reasoning Over Complex Documents with DocLLM with Armineh Nourbakhsh - 672
Answers 383 questions

Buy AND Build for Production Machine Learning with Nir Bar-Lev - #488
Answers 383 questions

Building Real-World LLM Products with Fine-Tuning and More with Hamel Husain - 694
Answers 383 questions













