Practical AI: Machine Learning, Data Science

A podcast by Changelog Media

Categories:

268 Episodes

  1. Accidentally building SOTA AI

    Published: 6/6/2023
  2. Controlled and compliant AI applications

    Published: 5/31/2023
  3. Data augmentation with LlamaIndex

    Published: 5/23/2023
  4. Creating instruction tuned models

    Published: 5/16/2023
  5. The last mile of AI app development

    Published: 5/11/2023
  6. Large models on CPUs

    Published: 5/2/2023
  7. Causal inference

    Published: 4/25/2023
  8. Capabilities of LLMs 🤯

    Published: 4/19/2023
  9. Computer scientists as rogue art historians

    Published: 4/12/2023
  10. Accelerated data science with a Kaggle grandmaster

    Published: 4/4/2023
  11. Explainable AI that is accessible for all humans

    Published: 3/28/2023
  12. AI search at You.com

    Published: 3/15/2023
  13. End-to-end cloud compute for AI/ML

    Published: 3/7/2023
  14. Success (and failure) in prompting

    Published: 2/28/2023
  15. Applied NLP solutions & AI education

    Published: 2/22/2023
  16. Serverless GPUs

    Published: 2/14/2023
  17. MLOps is alive and well

    Published: 2/7/2023
  18. 3D assets & simulation at NVIDIA

    Published: 1/31/2023
  19. GPU dev environments that just work

    Published: 1/24/2023
  20. Machine learning at small organizations

    Published: 1/17/2023

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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!