Explore the rapidly evolving landscape of large machine learning models in this 30-minute talk. Gain insights into headline-grabbing releases like ChatGPT and GPT-4 from OpenAI, as well as open-source projects generating state-of-the-art models such as Stable Diffusion, StableLM, and Craiyon. Learn how these teams leverage Weights & Biases to accelerate their work. Discover the journey of large language models, understand the roles of LTM Fine Tuners and Prompt Engineers, and get an overview of distributed systems and Python in AI development. Access the comprehensive slide deck for a deeper dive into the topics covered.
Understanding the Landscape of Latest Large ML Models
Overview
Syllabus
Introduction
How we got here
Weights and Biases
LTM Fine Tuners
LTM Prompt Engineers
Taught by
Anyscale