3min snip

Latent Space: The AI Engineer Podcast — Practitioners talking LLMs, CodeGen, Agents, Multimodality, AI UX, GPU Infra and all things Software 3.0 cover image

Beating GPT-4 with Open Source LLMs — with Michael Royzen of Phind

Latent Space: The AI Engineer Podcast — Practitioners talking LLMs, CodeGen, Agents, Multimodality, AI UX, GPU Infra and all things Software 3.0

NOTE

The Importance of Human Evaluation in GPT Models

We ran an experiment and trained the fine model, which is currently dominating the Big Code Leaderboard. Human evaluation doesn't matter much because GPT for itself has been trained on human evaluation. Our internal evaluations show that GPT for is a good evaluator and our model performs similarly to GPT 4. We have released the model to users who don't notice much difference. Our hypothesis is that training on high quality code improves the model's reasoning abilities. We are seeing emerging capabilities and are excited about the potential.

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