Practical AI: Machine Learning, Data Science

Podcast autorstwa Changelog Media

Kategorie:

275 Odcinki

  1. Success (and failure) in prompting

    Opublikowany: 28.02.2023
  2. Applied NLP solutions & AI education

    Opublikowany: 22.02.2023
  3. Serverless GPUs

    Opublikowany: 14.02.2023
  4. MLOps is alive and well

    Opublikowany: 7.02.2023
  5. 3D assets & simulation at NVIDIA

    Opublikowany: 31.01.2023
  6. GPU dev environments that just work

    Opublikowany: 24.01.2023
  7. Machine learning at small organizations

    Opublikowany: 17.01.2023
  8. ChatGPT goes prime time!

    Opublikowany: 10.01.2023
  9. NLP research by & for local communities

    Opublikowany: 3.01.2023
  10. SOTA machine translation at Unbabel

    Opublikowany: 13.12.2022
  11. AI competitions & cloud resources

    Opublikowany: 7.12.2022
  12. Copilot lawsuits & Galactica "science"

    Opublikowany: 29.11.2022
  13. Protecting us with the Database of Evil

    Opublikowany: 16.11.2022
  14. Hybrid computing with quantum processors

    Opublikowany: 8.11.2022
  15. The practicalities of releasing models

    Opublikowany: 1.11.2022
  16. AI adoption in large, well-established companies

    Opublikowany: 26.10.2022
  17. Data for All

    Opublikowany: 18.10.2022
  18. What's up, DocQuery?

    Opublikowany: 12.10.2022
  19. Production data labeling workflows

    Opublikowany: 27.09.2022
  20. Evaluating models without test data

    Opublikowany: 20.09.2022

4 / 14

Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!

Visit the podcast's native language site