Data Science at Home

Podcast autorstwa Francesco Gadaleta

Kategorie:

261 Odcinki

  1. Efficiently Retraining Language Models: How to Level Up Without Breaking the Bank (Ep. 227)

    Opublikowany: 11.05.2023
  2. Revolutionize Your AI Game: How Running Large Language Models Locally Gives You an Unfair Advantage Over Big Tech Giants (Ep. 226)

    Opublikowany: 3.05.2023
  3. Rust: A Journey to High-Performance and Confidence in Code at Amethix Technologies (Ep. 225)

    Opublikowany: 26.04.2023
  4. The Power of Graph Neural Networks: Understanding the Future of AI - Part 2/2 (Ep.224)

    Opublikowany: 18.04.2023
  5. The Power of Graph Neural Networks: Understanding the Future of AI - Part 1/2 (Ep.223)

    Opublikowany: 11.04.2023
  6. Leveling Up AI: Reinforcement Learning with Human Feedback (Ep. 222)

    Opublikowany: 4.04.2023
  7. The promise and pitfalls of GPT-4 (Ep. 221)

    Opublikowany: 30.03.2023
  8. AI’s Impact on Software Engineering: Killing Old Principles? (Ep. 220)

    Opublikowany: 14.03.2023
  9. Edge AI applications for military and space [RB] (Ep. 219)

    Opublikowany: 9.03.2023
  10. Prove It Without Revealing It: Exploring the Power of Zero-Knowledge Proofs in Data Science (Ep. 218)

    Opublikowany: 27.02.2023
  11. Deep learning vs tabular models (Ep. 217)

    Opublikowany: 21.02.2023
  12. [RB] Online learning is better than batch, right? Wrong! (Ep. 216)

    Opublikowany: 15.02.2023
  13. Chatting with ChatGPT: Pros and Cons of Advanced Language AI (Ep. 215)

    Opublikowany: 26.01.2023
  14. Accelerating Perception Development with Synthetic Data (Ep. 214)

    Opublikowany: 14.01.2023
  15. Edge AI applications for military and space [RB] (Ep. 213)

    Opublikowany: 13.12.2022
  16. From image to 3D model (Ep. 212)

    Opublikowany: 8.12.2022
  17. Machine learning is physics (Ep. 211)

    Opublikowany: 2.12.2022
  18. Autonomous cars cannot drive. Here is why. (Ep. 210)

    Opublikowany: 21.11.2022
  19. Evolution of data platforms (Ep. 209)

    Opublikowany: 8.11.2022
  20. [RB] Is studying AI in academia a waste of time? (Ep. 208)

    Opublikowany: 2.11.2022

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