蒸餾恐慌：為什麼將「知識蒸餾」稱為安全攻擊是極其糟糕的趨勢★ 75
Interconnects (Nathan L.)41 days agoOpinionIn the field of machine learning, "knowledge distillation" is a well-established technique that generally refers to using the output data generated by a…
知識蒸餾對中國大語言模型（LLM）到底有多重要？回應 Anthropic 的「蒸餾攻擊」觀點★ 75
Interconnects (Nathan L.)110 days agoCommentaryAnthropic recently published research on "distillation attacks," defining the practice of external developers using its API outputs to train other models as a…
開源模型陷入「永久追趕」：開源與閉源的差距、蒸餾、創新週期與開源的勝算★ 80
Interconnects (Nathan L.)117 days agoOpinionThis article by Nathan Lambert takes a deep dive into the tangled competitive dynamics between open-source and closed-source AI models. Lambert argues that…
Apriel-H1：揭示蒸餾高效推理模型的驚人關鍵★ 75
Hugging Face Blog207 days agoReleaseWith the successive emergence of models with powerful "reasoning" capabilities — such as OpenAI o1, o3, and DeepSeek-R1 — the challenge of reducing the…
Snorkel AI 攜手 Hugging Face：為企業解鎖基礎模型的力量
Hugging Face Blog1,165 days agoBusinessWith the explosion of foundation models and large language models (LLMs), enterprises are eager to incorporate these powerful technologies into real-world…