281 Epizód

  1. 2024 Themes and Trends in AI

    Közzétéve: 2024. 02. 29.

  2. The AI Infrastructure Revolution: From Cloud Computing to Data Center Design

    Közzétéve: 2024. 02. 22.

  3. AI in Depth: Transforming Transportation, Enterprise, and Policy

    Közzétéve: 2024. 02. 15.

  4. Software Meets Hardware: Enabling AMD for Large Language Models

    Közzétéve: 2024. 02. 08.

  5. Incentives are Superpowers: Mastering Motivation in the AI Era

    Közzétéve: 2024. 02. 01.

  6. Synthetic Futures: The Convergence of Biology and AI

    Közzétéve: 2024. 01. 25.

  7. AI Co-Pilots in Action: Transforming Function Calling in Cybersecurity

    Közzétéve: 2024. 01. 18.

  8. Leveling Up: Tools and Techniques to Make AI Development More Accessible

    Közzétéve: 2024. 01. 11.

  9. LLMs on CPUs, Period

    Közzétéve: 2024. 01. 04.

  10. Democratizing Wealth Management With AI

    Közzétéve: 2023. 12. 28.

  11. Knowledge Graphs: Contextualizing Enterprise Data for More Accurate LLMs

    Közzétéve: 2023. 12. 21.

  12. TimeGPT: Machine Learning for Time Series, Made Accessible

    Közzétéve: 2023. 12. 14.

  13. Best Practices for Building LLM-Backed Applications

    Közzétéve: 2023. 12. 07.

  14. The Evolution of Crypto, Blockchain, and Web3

    Közzétéve: 2023. 11. 30.

  15. Open Source Data and AI: Past, Present, Future

    Közzétéve: 2023. 11. 23.

  16. Orchestration for LLM and RAG applications

    Közzétéve: 2023. 11. 16.

  17. Reflections from the First AI Conference in San Francisco

    Közzétéve: 2023. 11. 09.

  18. Kùzu: A simple, extremely fast, and embeddable graph database

    Közzétéve: 2023. 11. 02.

  19. Navigating the Nuances of Retrieval Augmented Generation

    Közzétéve: 2023. 10. 26.

  20. The Rise of Generative AI-Powered Social Media Manipulation

    Közzétéve: 2023. 10. 19.

4 / 15

A series of informal conversations with thought leaders, researchers, practitioners, and writers on a wide range of topics in technology, science, and of course big data, data science, artificial intelligence, and related applications. Anchored by Ben Lorica (@BigData), the Data Exchange also features a roundup of the most important stories from the worlds of data, machine learning and AI. Detailed show notes for each episode can be found on https://thedataexchange.media/ The Data Exchange podcast is a production of Gradient Flow [https://gradientflow.com/].

Visit the podcast's native language site