AI 学者图谱AI Scholar Graph ↗
Jason WeiJason Wei
OpenAI
思维链提示的发现者Discoverer of Chain-of-Thought Prompting
nlp
Google Brain 研究者,做出了关于大语言模型的两个最具影响力的发现。第一,思维链提示(2022):发现仅仅在提示中加入「让我们一步步思考」就能大幅提升 LLM 的推理能力,这一技术现在几乎被所有 AI 应用所采用。第二,涌现能力(2022):证明某些能力会随着模型规模的增大而突然、不可预测地出现,从根本上改变了该领域对 Scaling 的思考方式。后加入 OpenAI,从事下一代模型的推理能力研究。
Researcher at Google Brain who made two key discoveries about large language models. First, chain-of-thought prompting (2022): showing that simply adding 'let's think step by step' to prompts dramatically improves LLM reasoning, a technique now used in virtually every AI application. Second, emergent abilities (2022): demonstrating that certain capabilities appear suddenly and unpredictably as models scale, fundamentally changing how the field thinks about scaling. Joined OpenAI to work on reasoning capabilities for next-generation models.
同一人物 · 姊妹站:听 TA 的播客访谈(AI Podcast) · 读 TA 的论文与长文(AI Paper)
在关系图谱中查看 Jason Wei →View Jason Wei in the graph →
时间线Timeline
关系网络Connections
Tom BrownOpenAI / 大模型 ScalingJeff DeanGoogle Brain,思维链
← 返回完整图谱← Back to the graph