DecisionFormer open-sourced: fine-tune calibrated decision models on any LLM backbone
kalyan_kpl · x · 2026-10-24
FrontiersMind open-sourced DecisionFormer, a "Transformers library for decision models": given a state and typed questions, it returns a calibrated probability for every option in a single forward pass, with no text generation.
- Full fine-tune, LoRA, QLoRA support
- Causal, bidirectional, and prefix-bidirectional attention
- Works with any HF backbone: Qwen, Gemma, Llama, ModernBERT
- Apache-2.0 licensed, includes fine-tune/load/serve workflows
Related event: DecisionFormer Open-Sourced: Transformers-Style Library for Decision Models(2 posts)→
More from coding & agent
- AI security workflow: repo scanner plus log-reading bot triaging vulnerability PRs daily — saranormous · 2026-10-24
- Having agents bring recommendations with items needing your input, 'I've reinvented Management' — josh_wills · 2026-10-24
- Agents made screwing around so cheap that 'finding out' stopped being exciting, dev says — zack_overflow · 2026-10-24
- Dev gives up on Google's Argon coding model, makes it write an apology handoff prompt — lowiqdoctor · 2026-10-24
- Building a patient-triage AI agent: handoff and compliance logs are harder than LLM reasoning — Frid-267 · 2026-10-24
- Codex is now fully usable inside the ChatGPT iOS app — dkundel · 2026-10-24