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[] Explaining GraphML
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Classroom Contents
Adventures in Building CLIP and Other Large Language Models
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- 1 [] Sachin's preferred beverage
- 2 [] Takeaways
- 3 [] Chat GPT user
- 4 [] Understanding on reliable Agents
- 5 [] Sachin's background
- 6 [] Staying at Deep Learning
- 7 [] Recommendation or Lead Scoring
- 8 [] Vector database
- 9 [] Sachin's blogs
- 10 [] The cap people
- 11 [] Pursuing business case
- 12 [] Canva
- 13 [] Incorporating AI and Machine Learning
- 14 [] Sponsor Ad
- 15 [] Eliminating unnecessary steps
- 16 [] Interacting with the product team
- 17 [] Criticisms on the current architecture limitations
- 18 [] Insufficient exploration of Transformers
- 19 [] Explaining GraphML
- 20 [] Fine-tuning ChatGPT2
- 21 [] Leading ML Engineers and teams
- 22 [] Being practical with Math
- 23 [] Wrap up
