104 Episodio

  1. Eliminating AI Bias Through Inclusive Data Annotation with Andrea Brown

    Pubblicato: 18/06/2024
  2. Regulation's Role in Driving Responsible AI with Asa Whillock

    Pubblicato: 04/06/2024
  3. Transforming Client Experience with AI with Robbi Armstrong

    Pubblicato: 21/05/2024
  4. Navigating Open Source Talent, AI & Policy Challenges with Amanda Brock

    Pubblicato: 07/05/2024
  5. Using AI to Impact Performance Feedback Equity with Tacita Morway

    Pubblicato: 23/04/2024
  6. The Ethical Path to High-Quality AI Data with Fabiana Clemente

    Pubblicato: 09/04/2024
  7. Disrupting Data Analysis with Avi Press

    Pubblicato: 26/03/2024
  8. Tech, Trust, and Transformation with Paula Paul

    Pubblicato: 12/03/2024
  9. An Innovative Approach to AI & NLP with Milos Rusic

    Pubblicato: 27/02/2024
  10. New Beginnings: Open||Source||Data in Transition

    Pubblicato: 20/12/2023
  11. The Intersection of Open Source and AI with Stefano Maffulli & Stephen O’Grady

    Pubblicato: 13/12/2023
  12. Throwback: The AI-Native Stack with Mikiko Bazeley, Zain Hasan, and Tuana Celik

    Pubblicato: 15/11/2023
  13. How We Should Think About Data Reliability for Our LLMs with Mona Rakibe

    Pubblicato: 01/11/2023
  14. Throwback: Open Source Innovation, The GPL for Data, and The Data In to Data Out Ratio with Larry Augustin

    Pubblicato: 18/10/2023
  15. Reframing Machine Learning and AI-Assisted Development with Jorge Torres

    Pubblicato: 27/09/2023
  16. A Sam Ramji Feature: The Evolution of Open Source, Kubernetes, and AI's Forward Journey

    Pubblicato: 06/09/2023
  17. The Importance of Open Source Data for Generative AI, Now and in the Future with Abby Kearns

    Pubblicato: 23/08/2023
  18. The Value of Reproducibility and Ease of AI Deployment with Daniel Lenton

    Pubblicato: 09/08/2023
  19. ML Engineering Teams and Niche Chat Bot Experiences with Demetrios Brinkmann

    Pubblicato: 26/07/2023
  20. Building With Trust, Inspiration, and Reputation with Jaya Gupta, Yuliia Tkachova, and Omoju Miller

    Pubblicato: 12/07/2023

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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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