39sec 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

The "Normsky" architecture for AI coding agents — with Beyang Liu + Steve Yegge of SourceGraph

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

NOTE

Fragmentation of Models in Recommender Engine

Initially, a single LLM model was used for all tasks, but it was later discovered that smaller, faster models were better for certain use cases. This led to the expectation that the fragmentation of models would continue and proliferate, particularly in the realm of code recommendation. To excel as a recommender engine, it is crucial to have numerous finely tuned models, similar to major platforms like YouTube, Spotify, and Amazon.

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