Tech Disruptors Cohere’s Path to Differentiation in LLM Race
Jul 18, 2024
Nick Frosst, co-founder of Cohere, discusses the unique approach to model training like retrieval augmented generation, tokenization strategies, and challenges in debugging language models. They explore the significance of large language models with text prompts, focusing on efficient problem-solving in enterprise applications and the debate on model size vs synthetic data for AI development.
Chapters
Transcript
Episode notes
1 2 3 4 5 6
Intro
00:00 • 2min
Foundational Models and Retrieval-Augmented Generation in Language Models
02:18 • 19min
Relevance of Multimodality in Technology
21:11 • 7min
Exploring the Significance of Tokenization Strategies in Multilingual Model Training
27:50 • 2min
Debate on Model Size vs Synthetic Data in AI Development
29:53 • 2min
Tech and LLMs Q&A Session
32:08 • 4min