MLBros #1: Exploring LLMs, SAM, SEEM, TrackAnything & DINOv2

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ะŸะพะบะฐะทะฐั‚ัŒ ะพะฟะธัะฐะฝะธะต

Francescoโ€™s YouTube:

We looked into:
๐‡๐š๐ซ๐ง๐ž๐ฌ๐ฌ๐ข๐ง๐  ๐ญ๐ก๐ž ๐๐จ๐ฐ๐ž๐ซ ๐จ๐Ÿ ๐‹๐‹๐Œ๐ฌ ๐ข๐ง ๐๐ซ๐š๐œ๐ญ๐ข๐œ๐ž: ๐€ ๐’๐ฎ๐ซ๐ฏ๐ž๐ฒ ๐จ๐ง ๐‚๐ก๐š๐ญ๐†๐๐“ ๐š๐ง๐ ๐๐ž๐ฒ๐จ๐ง๐

๐’๐ž๐ ๐ฆ๐ž๐ง๐ญ ๐€๐ง๐ฒ๐ญ๐ก๐ข๐ง๐ 

๐’๐ž๐ ๐ฆ๐ž๐ง๐ญ ๐„๐ฏ๐ž๐ซ๐ฒ๐ญ๐ก๐ข๐ง๐  ๐„๐ฏ๐ž๐ซ๐ฒ๐ฐ๐ก๐ž๐ซ๐ž ๐€๐ฅ๐ฅ ๐š๐ญ ๐Ž๐ง๐œ๐ž

๐“๐ซ๐š๐œ๐ค ๐€๐ง๐ฒ๐ญ๐ก๐ข๐ง๐ : ๐’๐ž๐ ๐ฆ๐ž๐ง๐ญ ๐€๐ง๐ฒ๐ญ๐ก๐ข๐ง๐  ๐Œ๐ž๐ž๐ญ๐ฌ ๐•๐ข๐๐ž๐จ๐ฌ

๐ƒ๐ˆ๐๐Ž๐ฏ2: ๐‹๐ž๐š๐ซ๐ง๐ข๐ง๐  ๐‘๐จ๐›๐ฎ๐ฌ๐ญ ๐•๐ข๐ฌ๐ฎ๐š๐ฅ ๐…๐ž๐š๐ญ๐ฎ๐ซ๐ž๐ฌ ๐ฐ๐ข๐ญ๐ก๐จ๐ฎ๐ญ ๐’๐ฎ๐ฉ๐ž๐ซ๐ฏ๐ข๐ฌ๐ข๐จ๐ง -

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Timestamps:
0:00 - Introduction and chitchat
9:46 - DINOv2 and SSL
29:55 - LLMs comparison
35:27 - Harnessing the power of LLMs
1:40:05 - SEEM and SAM
2:29:53 - Track Anything
2:38:10 - Ending
2:40:16 - Francesco talking to himself :)))
  1. Aladdin Persson
  2. machine learning
  3. machine learning research
  4. deep learning
  5. research papers
  6. machine learning podcast
ะšะพะผะผะตะฝั‚ะฐั€ะธะธ
ะะฒั‚ะพั€

Timestamps:
0:00 - Introduction and chitchat
9:46 - DINOv2 and SSL cookbook
29:55 - LLMs comparison
35:27 - Harnessing the power of LLMs
1:40:05 - SEEM and SAM
2:29:53 - Track Anything
2:38:10 - Ending
2:40:16 - Francesco talking to himself :)))

AladdinPersson