Gradient Dissent - A Machine Learning Podcast avatar

Dexa/Gradient Dissent - A Machine Learning Podcast

Learn more

Open Model Transparency

Percy discusses the importance of transparency in open models, emphasizing the need for widely available training data to truly understand model evaluation results. He also touches on the challenge of aligning models with diverse human values, even within the realm of open models.
  • In this clip

  • From this podcast

    Gradient Dissent - A Machine Learning Podcast avatar

    Gradient Dissent - A Machine Learning Podcast

    Shaping AI Benchmarks with Together AI Co-Founder Percy Liang

  • Related Questions

    • Why is openness important for artificial intelligence, as discussed in the episode Making the Most of Open Source in AI and the clip AI Transparency Discussion from the episode Shaping AI Benchmarks with Together AI Co-Founder Percy Liang and the clip Open Model Transparency?

    • Why is openness important for artificial intelligence, as discussed in the episode Shaping AI Benchmarks with Together AI Co-Founder Percy Liang and the clip Open Model Transparency?

    • Why is openness important for artificial intelligence, as discussed in the episode Making the Most of Open Source in AI and the clip AI Transparency Discussion from the episode Shaping AI Benchmarks with Together AI Co-Founder Percy Liang and the clip Open Model Transparency?

Built by
Charlie AI
© 2024 Gradient Dissent - A Machine Learning PodcastTermsPrivacySupport