One Model for All the Tasks - BLIP - Author Interview

One Model for All the Tasks - BLIP - Author Interview

Yannic Kilcher via YouTube Direct link

- How did data bootstrapping come into the project?

5 of 15

5 of 15

- How did data bootstrapping come into the project?

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One Model for All the Tasks - BLIP - Author Interview

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  1. 1 - Intro
  2. 2 - Sponsor: Assembly AI
  3. 3 - Start of Interview
  4. 4 - What's the pitch?
  5. 5 - How did data bootstrapping come into the project?
  6. 6 - How big of a problem is data quality?
  7. 7 - Are the captioning & filtering models biased towards COCO data?
  8. 8 - Could the data bootstrapping be done multiple times?
  9. 9 - What was the evolution of the BLIP architecture?
  10. 10 - Are there additional benefits to adding language modelling?
  11. 11 - Can we imagine a modular future for pre-training?
  12. 12 - Diving into the experimental results
  13. 13 - What did and did not work out during the research?
  14. 14 - How is research life at Salesforce?
  15. 15 - Where do we go from here?

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