Discoverer of Chain-of-Thought PromptingDiscoverer of Chain-of-Thought Prompting
nlp
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.
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.