How Veteran ML Engineers Can Transition to LLMs
Experienced traditional ML engineers looking to move into LLMs are advised to leverage existing skills in model evaluation, building Evals on classic tasks like banking77 and practicing SFT and GRPO, with local experimentation on Mac using models like gpt-osx-20b or Qwen via Tinker.
2026-09-01 ~ 2026-09-02 · 4 related posts
- Ten-year ML veteran seeks advice on catching up with LLM market — franbetteo · 2026-09-01
- Advice for traditional ML engineers pivoting to LLMs — vboykis · 2026-09-02
- Legacy DS to LLM: Use banking77 dataset, SFT, and GRPO — JoshPurtell · 2026-09-02
- Local LLM tips: Run gpt-osx-20b or Qwen on Mac — JoshPurtell · 2026-09-02