Fine-tuning a 0.8B model to beat hosted LLMs at one job
I needed a model for one narrow decision. When a new fact about someone comes in, does it replace something already known? "I moved to Berlin" should retire "I live in Pune". "Watched two episodes of The Bear" should leave "works at Infosys" alone. It sounds trivial, but any assistant with long-ter…
Read the full story at DEV Community — Machine Learning ↗
Timeline · 1 report
- 2026-10-05 16:07 · DEV Community — Machine Learning
Fine-tuning a 0.8B model to beat hosted LLMs at one job