
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

956 Listeners

1,976 Listeners

438 Listeners

112,847 Listeners

10,064 Listeners

5,532 Listeners

213 Listeners

51 Listeners

98 Listeners

473 Listeners