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

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

From RLHF to RLHB: The Case for Learning from Human Behavior - with Jeffrey Wang and Joe Reeve of Amplitude

Jun 8, 2023
49:29

Podcast summary created with Snipd AI

Quick takeaways

  • Leveraging high-fidelity product data can improve product decisions and build better products.
  • Integrating AI as a tool can enhance existing products and improve over time.

Deep dives

Using data and product data in large language models

The podcast episode discusses the use of data and product data in large language models. The speakers explore how to make it easy for teams to understand and synthesize learnings from product data. They talk about analyzing user behavior data to improve product decisions and build better products. They also mention the challenges of working with large amounts of data and the importance of using AI to automate the process of making products better.

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highlights

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