The Data Exchange with Ben Lorica
Ein Podcast von Ben Lorica - Donnerstags
281 Folgen
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2024 Themes and Trends in AI
Vom: 29.2.2024 -
The AI Infrastructure Revolution: From Cloud Computing to Data Center Design
Vom: 22.2.2024 -
AI in Depth: Transforming Transportation, Enterprise, and Policy
Vom: 15.2.2024 -
Software Meets Hardware: Enabling AMD for Large Language Models
Vom: 8.2.2024 -
Incentives are Superpowers: Mastering Motivation in the AI Era
Vom: 1.2.2024 -
Synthetic Futures: The Convergence of Biology and AI
Vom: 25.1.2024 -
AI Co-Pilots in Action: Transforming Function Calling in Cybersecurity
Vom: 18.1.2024 -
Leveling Up: Tools and Techniques to Make AI Development More Accessible
Vom: 11.1.2024 -
LLMs on CPUs, Period
Vom: 4.1.2024 -
Democratizing Wealth Management With AI
Vom: 28.12.2023 -
Knowledge Graphs: Contextualizing Enterprise Data for More Accurate LLMs
Vom: 21.12.2023 -
TimeGPT: Machine Learning for Time Series, Made Accessible
Vom: 14.12.2023 -
Best Practices for Building LLM-Backed Applications
Vom: 7.12.2023 -
The Evolution of Crypto, Blockchain, and Web3
Vom: 30.11.2023 -
Open Source Data and AI: Past, Present, Future
Vom: 23.11.2023 -
Orchestration for LLM and RAG applications
Vom: 16.11.2023 -
Reflections from the First AI Conference in San Francisco
Vom: 9.11.2023 -
Kùzu: A simple, extremely fast, and embeddable graph database
Vom: 2.11.2023 -
Navigating the Nuances of Retrieval Augmented Generation
Vom: 26.10.2023 -
The Rise of Generative AI-Powered Social Media Manipulation
Vom: 19.10.2023
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/].
