Evolving Evaluation Methods
Rosanne discusses the challenges of model evaluation, highlighting the need for innovative evaluation methods to prevent overfitting in competitive environments. The conversation shifts to the rapid advancements in AI, with a focus on the capabilities of LLMs and their integration into various media. The dynamic nature of AI development fuels the motivation to create timely podcast content that keeps listeners informed.In this clip
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Related Questions
I have a question about the episode Holistic Evaluation of Generative AI Systems // Jineet Doshi // #280 and the clip Evaluating AI Reasoning. Have you seen a way to unit test large language models (LLMs) that are super helpful, as discussed in the episode How to Systematically Test and Evaluate Your LLMs Apps // Gideon Mendels // #269?
Is there anyone taking a different approach to prompt engineering for large language models that makes the process more accessible to a wider audience, as discussed in the episode Holistic Evaluation of Generative AI Systems // Jineet Doshi // #280 and the clip LLMs as Jury, as well as in the episode Collaboration & evaluation for LLM apps and the clip Fine Tuning Insights?
Is there anyone taking a different approach to prompt engineering for large language models that makes the process more accessible to a wider audience, as discussed in the episode Holistic Evaluation of Generative AI Systems // Jineet Doshi // #280 and the clip LLMs as Jury, as well as in the episode Collaboration & evaluation for LLM apps and the clip Fine Tuning Insights?