96 Folgen

  1. An Innovative Approach to AI & NLP with Milos Rusic

    Vom: 27.2.2024

  2. New Beginnings: Open||Source||Data in Transition

    Vom: 20.12.2023

  3. The Intersection of Open Source and AI with Stefano Maffulli & Stephen O’Grady

    Vom: 13.12.2023

  4. Throwback: The AI-Native Stack with Mikiko Bazeley, Zain Hasan, and Tuana Celik

    Vom: 15.11.2023

  5. How We Should Think About Data Reliability for Our LLMs with Mona Rakibe

    Vom: 1.11.2023

  6. Throwback: Open Source Innovation, The GPL for Data, and The Data In to Data Out Ratio with Larry Augustin

    Vom: 18.10.2023

  7. Reframing Machine Learning and AI-Assisted Development with Jorge Torres

    Vom: 27.9.2023

  8. A Sam Ramji Feature: The Evolution of Open Source, Kubernetes, and AI's Forward Journey

    Vom: 6.9.2023

  9. The Importance of Open Source Data for Generative AI, Now and in the Future with Abby Kearns

    Vom: 23.8.2023

  10. The Value of Reproducibility and Ease of AI Deployment with Daniel Lenton

    Vom: 9.8.2023

  11. ML Engineering Teams and Niche Chat Bot Experiences with Demetrios Brinkmann

    Vom: 26.7.2023

  12. Building With Trust, Inspiration, and Reputation with Jaya Gupta, Yuliia Tkachova, and Omoju Miller

    Vom: 12.7.2023

  13. FMOps and a Founders Automated Future with Jaya Gupta

    Vom: 28.6.2023

  14. MLOPs: Privacy, Security, Cost, and Latency - a Sneak Peek with Bart Farrell

    Vom: 14.6.2023

  15. Web3 and Putting Reputation on Code with ML with Omoju Miller

    Vom: 31.5.2023

  16. The Human Right to Privacy and Caring About UX Design with Yuliia Tkachova

    Vom: 17.5.2023

  17. Determinism in Complex Environments and Workflow Services with Maxim Fateev

    Vom: 3.5.2023

  18. The AI-Native Stack in Practice with Charna Parkey and Sam Bean

    Vom: 15.3.2023

  19. The AI-Native Stack with Mikiko Bazeley, Zain Hasan, and Tuana Celik

    Vom: 1.3.2023

  20. Special Episode: Data on Kubernetes and Cassandra Forward with Patrick McFadin

    Vom: 22.2.2023

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What can we learn from ai-native development through stimulating conversations with developers, regulators, academics and people like you that drive forward development, seek to understand impact, and are working to mitigate risk in this new world? Join Charna Parkey and the community shaping the future of open source data, open source software, data in AI, and much more.

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