Conditional Language Models

Bryan discusses the innovative approach of conditioning language models with source URLs, enhancing the reliability of generated content. This method not only allows for accurate article generation but also enables source attribution, a feature lacking in earlier models. Jon connects this concept to protein generation, highlighting how proteins, like language, can be viewed as sequences that drive essential functions in the body.

In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
835: AI Systems as Productivity Engines — with You.com’s Bryan McCann
Related Questions
- How are large language models (LLMs) trained, as discussed in the episode 670: LLaMA: GPT-3 performance, 10x smaller — with Jon Krohn (@JonKrohnLearns) and the clip Llama Model Insights?

Conditional Language Models

In this clip

From this podcast

Super Data Science: ML & AI Podcast with Jon Krohn

835: AI Systems as Productivity Engines — with You.com’s Bryan McCann

Related Questions

How are large language models (LLMs) trained, as discussed in the episode 670: LLaMA: GPT-3 performance, 10x smaller — with Jon Krohn (@JonKrohnLearns) and the clip Llama Model Insights?