Nathan Lambert 的最新進展：ATOM Report、Post-Training 課程、新書與持續進行的 AI 研究
Original: What I’ve been building: ATOM Report, post-training course, finishing my book, and ongoing research
Nathan Lambert, a prominent AI expert, former Alignment Scientist at Hugging Face, and founder of the popular newsletter Interconnects…
知名 AI 專家 Nathan Lambert 分享了近期四大專案：專注於對齊與開源模型的「ATOM Report」、系統化的「Post-Training（後訓練）」線上實戰課程、即將完稿的 AI 對齊專業書籍，以及持續進行的 LLM 評估與偏好微調研究。這些計畫旨在為開發者與研究人員填補後訓練技術的知識鴻溝。
Nathan Lambert, a prominent AI expert, former Alignment Scientist at Hugging Face, and founder of the popular newsletter Interconnects, recently wrote about four core projects he has been pouring his energy into. As the focus of generative AI gradually shifts from massive pre-training to the post-training stage — which is about making models more practical and safer — Nathan's projects are addressing the most pressing pain points in the current industry.
Free shows the 3-line summary; Pro unlocks the full deep summary (~300 words) so you never have to click through.
See Pro plans →Want the original English / full article?
Read on Interconnects (Nathan L.) →Summaries are AI-generated; the original article is authoritative.