Category: AI – This Quote

Josh Achiam and colleagues’s words on GPT-4 explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Rohan Anil and colleagues’s words on Gemini multimodal models explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Zhenzhong Lan and colleagues’s words on ALBERT language representations explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Pengcheng He and colleagues’s words on DeBERTa disentangled attention explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Song Han and colleagues’s words on deep neural-network compression explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Aditya Grover and Jure Leskovec’s words on node2vec graph embeddings explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Chengxuan Ying and colleagues’s words on Graphormer explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Ahmed Elnaggar and colleagues’s words on ProtTrans protein language models explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Chao Jia and colleagues’s words on ALIGN vision-language learning explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Roshan Rao and colleagues’s words on TAPE protein benchmarks explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Gina Raimondo’s human-centered test asks whether AI makes people safer, healthier, more capable, and more secure in their work.

Jean-Baptiste Alayrac and colleagues’s words on Flamingo visual-language models explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.