Category: AI – This Quote

Karl Cobbe and colleagues’s words on verifier-guided mathematics explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Xuezhi Wang and colleagues’s words on self-consistency decoding explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Deep Ganguli and colleagues’s words on predictability and surprise in large models explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Yizhong Wang and colleagues’s words on Self-Instruct explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Jordan Hoffmann and colleagues’s words on Chinchilla scaling laws explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Yujia Li and colleagues’s words on AlphaCode explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Chunting Zhou and colleagues’s words on LIMA alignment explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Mark Chen and colleagues’s words on Codex program synthesis explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Aaron Grattafiori and colleagues’s words on the Llama 3 model family explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Baptiste Rozière and colleagues’s words on Code Llama explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Thomas Mesnard and the Gemma Team’s words on Gemma open models explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Aixin Liu and the DeepSeek-AI team’s words on DeepSeek-V2 explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.