Model Safety Insights

A discussion unfolds around the evaluation process of various models, highlighting a 34 billion parameter model that failed to meet safety standards. The rigorous steps taken to ensure model safety, including fine-tuning and human audits, are emphasized. The decision to withhold this model from release is explained, showcasing a commitment to prioritizing safety over speed in the deployment of AI technologies.

In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
713: Llama 2, Toolformer and BLOOM: Open-Source LLMs — with Meta's Dr. Thomas Scialom
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?

Model Safety Insights

In this clip

From this podcast

Super Data Science: ML & AI Podcast with Jon Krohn

713: Llama 2, Toolformer and BLOOM: Open-Source LLMs — with Meta's Dr. Thomas Scialom

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?