The Science of LLM Benchmarks: Methods, Metrics, and Meanings 🚀

In this session, Jonathan from Shujin AI will talk about LLM benchmarks and their performance evaluation metrics. He will address intriguing questions such as whether Gemini truly outperformed GPT4-v. Learn how to review benchmarks effectively and understand popular benchmarks like ARC, HellSwag, MMLU, and more.

Topics that were covered:

🧠 Did Gemini really beat GPT4-v?

The performance showdown between Gemini and GPT 4, based on objective and detailed benchmark results.

🔍 What exactly are ARC, HellSwag, MMLU, etc.?

Gain insights into some of the most popular benchmarks in the LLM arena, such as ARC, HellSwag, and MMLU.

💪 How to review benchmarks and what to look out for?

Jonathan will guide you through a step-by-step process to assess these benchmarks critically, helping you understand the strengths and limitations of different models.