LLM landscape
LLM Insights
Data-grounded views of the model landscape, refreshed automatically on a schedule. Each insight carries its own dataset, methodology, freshness status, and agent-written takeaways.
Highlights
Training compute vs capability
How published training compute relates to model capability, with measured rows, explicit assumptions, and a validation review queue.
… models… measured… in reviewLoading…
Enterprise LLM adoption
Which LLM ecosystems show up in real, source-linked enterprise deployments — quarterly shares for Azure OpenAI, Bedrock, Gemini, Claude, and open weights.
… LLM-classified cases… quarters… ecosystemsLoading…
Model release timeline
When and how often the large AI labs ship new models — release cadence per lab, kept current by the weekly catalogue refresh and the announcement-watcher agent.
… tracked releases… AI labs… latestLoading…