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[] Compression angle adds to the bias
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From Arduinos to LLMs: Exploring the Spectrum of ML - MLOps Podcast Episode 162
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- 1 [] Soham's preferred coffee
- 2 [] Takeaways
- 3 [] Please share this episode with
- 4 [] Soham's background
- 5 [] From electrical engineering to Machine Learning
- 6 [] Deep learning, Edge Computing, and Quantum Computing
- 7 [] Tiny ML
- 8 [] Favorite area in Tiny ML chain
- 9 [] Applications explored
- 10 [] Operational challenges transformation
- 11 [] Building with Large Language Models
- 12 [] Most Optimal Model
- 13 [] LLMs path
- 14 [] Prompt engineering
- 15 [] Migrating infrastructures to new product
- 16 [] Your success where others failed
- 17 [] API Accessibility
- 18 [] Reality about LLMs
- 19 [] Compression angle adds to the bias
- 20 [] Wrap up
