Browsing: Yannic Kilcher
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding&Generation
#blip #review #ai Cross-modal pre-training has been all the rage lately in deep learning, especially training vision and language models…
#blip #interview #salesforce Paper Review Video: Sponsor: Assembly AI This is an interview with Junnan Li and Dongxu Li, authors…
Typical Decoding for Natural Language Generation (Get more human-like outputs from language models!)
#deeplearning #nlp #sampling Modern language models like T5 or GPT-3 achieve remarkably low perplexities on both training and validation data,…
#deeplearning #nlp #sampling This is an interview with first author Clara Meister. Paper review video hereé Modern language models like…
#nlp #gpt3 #prompt Large language models such as GPT-3 have enabled many breakthroughs and new applications recently, but they come…
#nlp #gpt3 #prompt This is an interview with the authors of this work, Aman Madaan and Niket Tandon. Large language…
#mlnews #gpt3 #pathways Your updates on the latest and greatest from the depths of Machine Learning! Sponsor: Weights & Biases…
#reinforcementlearning #ai #explained Exploration is one of the oldest challenges for Reinforcement Learning algorithms, with no clear solution to date.…
#reinforcementlearning #ai #explained This is an interview with Jesse Mu, first author of the paper. Original Paper Review: Exploration is…
#aiart #deeplearning #clip Since the release of CLIP, the world of AI art has seen an unprecedented level of acceleration…