Latest in Foundation Models & MLOps

openrouter.ai
1,149 words

Cohere: Rerank 5 Pro

Relevance scores are calibrated to a 0-1 range so a fixed threshold behaves consistently across queries. Rerank 5 Fast is the lower-latency sibling for high-volume search and agent loops. This model is hosted by one provider. OpenRouter forwards every request to it…

396 words

Better Search Pushed an Agent From 36% to 98%

Mixedbread showed on AI Engineer how visual late interaction search lifted a hedge fund agent from 36% to 98% accuracy and cut LLM spend by 3x. By StartupHub.ai Staff, Editorial team Can search alone make a bad agent good? Aamir Shakir said…

Foundation Models & MLOps

Pretraining, fine‑tuning, RAG, evals, and deployment pipelines at scale.

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