Category: AI – This Quote

Victor Sanh and colleagues’s words on language-model distillation explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Yonghui Wu and colleagues’s words on large-scale neural translation explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Rico Sennrich and colleagues’s words on subword translation explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Jonas Gehring and colleagues’s words on convolutional sequence modeling explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Danny Driess and colleagues’s words on embodied language models explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Jiahui Yu and colleagues’s words on autoregressive text-to-image generation explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Alan Turing closed his 1950 paper on machine intelligence with a practical call to work on the problems already visible.

Haotian Liu and colleagues’s words on visual instruction tuning explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Junnan Li and colleagues’s words on vision-language pretraining explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Prafulla Dhariwal and Alex Nichol’s words on guided diffusion explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Chitwan Saharia and colleagues’s words on text-to-image diffusion explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.

Ali Razavi and colleagues’s words on VQ-VAE-2 explain a pivotal AI idea and why its evidence, limits, and responsible use still matter today.