Published Jun 16, 2023
688: Six Reasons Why Building LLM Products Is Tricky — with Jon Krohn (@JonKrohnLearns)
Jon Krohn delves into the intricate world of building products with Large Language Models, highlighting legal, technical, and integration challenges that companies face. From data privacy and compliance to innovative product design and overcoming processing limitations, this episode provides critical insights for navigating the complexities of LLM-based applications.
Topics covered
Popular Clips
Episode Highlights
Related Episodes
772: In Case You Missed It in March 2024 — with Jon Krohn (@JonKrohnLearns)
Answers 383 questionsSDS 578: Identifying Commercial ML Problems — with Jon Krohn
Answers 383 questions
787: MLOps: The Job and The Key Tools — with Demetrios Brinkmann
Answers 383 questions712: Code Llama — with Jon Krohn (@JonKrohnLearns)
Answers 383 questions
767: Open-Source LLM Libraries and Techniques — with Dr. Sebastian Raschka
Answers 383 questions670: LLaMA: GPT-3 performance, 10x smaller — with Jon Krohn (@JonKrohnLearns)
Answers 383 questions684: Get More Language Context out of your LLM — with Jon Krohn (@JonKrohnLearns)
Answers 383 questions
