Open Source Safety
The discussion highlights the critical balance between open sourcing large language models and ensuring safety. Emphasizing the importance of responsible practices, it reflects on the challenges of making models accessible while minimizing risks. The approach taken prioritizes safety over flexibility, aiming to gradually adjust safety measures in future releases.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
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