VentureBeat AI
Enterprises can now train custom AI models from production workflows — no ML team required
✦TL;DR
Every query an enterprise AI application processes, every correction a subject matter expert makes to its output — that interaction is training data. Most organizations are not capturing it. The production workflows companies have already built are generating a continuous signal that improves AI mod...
Want the full story? Read the original article.
Read on VentureBeat AI ↗Share this summary
More like this
Developers can now debug and evaluate AI agents locally with Raindrop's open source tool Workshop
VentureBeat AI•#llm
Expanded interoperability with Unity Catalog Open APIs
Databricks Blog•#enterprise
Granite Embedding Multilingual R2: Open Apache 2.0 Multilingual Embeddings with 32K Context — Best Sub-100M Retrieval Quality
Hugging Face Blog•#llm
Claude Code's '/goals' separates the agent that works from the one that decides it's done
VentureBeat AI•#llm