Practical AI: Machine Learning, Data Science, LLM

En podcast av Changelog Media

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304 Avsnitt

  1. Deep learning in Rust with Burn 🔥

    Publicerades: 2023-10-24
  2. AI's impact on developers

    Publicerades: 2023-10-20
  3. Generative models: exploration to deployment

    Publicerades: 2023-10-03
  4. Automate all the UIs!

    Publicerades: 2023-09-20
  5. Fine-tuning vs RAG

    Publicerades: 2023-09-06
  6. Automating code optimization with LLMs

    Publicerades: 2023-08-29
  7. The new AI app stack

    Publicerades: 2023-08-23
  8. Blueprint for an AI Bill of Rights

    Publicerades: 2023-08-09
  9. Vector databases (beyond the hype)

    Publicerades: 2023-08-01
  10. There's a new Llama in town

    Publicerades: 2023-07-25
  11. Legal consequences of generated content

    Publicerades: 2023-07-18
  12. A developer's toolkit for SOTA AI

    Publicerades: 2023-07-12
  13. Cambrian explosion of generative models

    Publicerades: 2023-07-06
  14. Automated cartography using AI

    Publicerades: 2023-06-28
  15. From ML to AI to Generative AI

    Publicerades: 2023-06-21
  16. AI trends: a Latent Space crossover

    Publicerades: 2023-06-14
  17. Accidentally building SOTA AI

    Publicerades: 2023-06-06
  18. Controlled and compliant AI applications

    Publicerades: 2023-05-31
  19. Data augmentation with LlamaIndex

    Publicerades: 2023-05-23
  20. Creating instruction tuned models

    Publicerades: 2023-05-16

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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!

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