
Sign up to save your podcasts
Or


The paper explores simplifying the standard transformer block by removing various components without sacrificing training speed. Experimental results show that the simplified transformers achieve comparable performance with faster training throughput and fewer parameters.
https://arxiv.org/abs//2311.01906
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
By Igor Melnyk5
33 ratings
The paper explores simplifying the standard transformer block by removing various components without sacrificing training speed. Experimental results show that the simplified transformers achieve comparable performance with faster training throughput and fewer parameters.
https://arxiv.org/abs//2311.01906
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

953 Listeners

1,971 Listeners

438 Listeners

112,700 Listeners

10,063 Listeners

5,531 Listeners

214 Listeners

51 Listeners

99 Listeners

473 Listeners