AINewsnow

Apple Research Proposes Proof-Gen Method to Improve Tool-Calling Model Distillation

This story is from 2026-08-26. It is preserved in the archive; the latest stories are on the live feed.

Apple's machine learning research introduces Proof-Gen, a method for supervised fine-tuning on teacher-generated trajectories to improve distillation of tool-calling capabilities into deployable models.

Read the full story at Apple Machine Learning Research ↗

Timeline · 1 report

  1. 2026-08-26 00:00 · Apple Machine Learning Research
    PROOF-Gen: From Optimized Data to Better Distillation

More stories

  1. Which major chatbot apps work with CarPlay? — Engadget
  2. Apple’s new chief executive built up to unveiling the ideal AI device, then said it was the iPhone. — The Next Web
  3. A closer look at the upcoming Siri AI-powered home hub, a key pillar of Apple's strategy for the home; sources: Apple started cutting Fitness+ staff (Mark Gurman/Bloomberg) — Techmeme
  4. Gemini Joins the Hacker Club — Wall Street Journal Technology
  5. Apple’s Home AI Hub Details; Apple Fitness+ Layoffs and iPhone Duo Apple Pencil — Bloomberg AI
  6. ComfyUI on Apple Silicon: no MLX, no fp8, 600-second kernel builds. So I built my own launcher — a personal project I'm sharing in case it helps someone. — r/comfyui
  7. [Release] Nirvana Code: A single-binary Rust LLM engine built from the metal up for Apple Silicon (Metal 3, Persistent Prefix Cache, Speculative Decoding, Dual GGUF + MLX) — r/LocalLLM
  8. He’s the Face of AI Doomsday Fears — Wall Street Journal Technology

Get the daily brief of stories like this at 6:30 every morning →