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Frontiers of AI: From Text-to-Video Models to Knowledge Graphs

Ben Lorica and Paco Nathan on text-to-video, Gemini, model hubs, synthetic data, and beyond.

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Paco Nathan is the founder of Derwen, a boutique consultancy focused on Data and AI. This episode explores recent developments in AI, including text-to-video models like Sora, frameworks for productionizing AI models, analyses of systems like Google’s Gemini, techniques to improve foundation models, AMD’s software innovations for AI acceleration, and knowledge graph augmentations of language models.

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Key sections from the video version:

  1. Sora and Text-to-Video Models
  2. Navigating the Landscape of AI Production: Endpoint Arbitrage, Performance Metrics, and Decision-Making Frameworks
  3. Examining Google’s Gemini AI system
  4. Improving Foundation Models Using Synthetic Data and Preference Learning
  5. AMD’s Software Evolution and Its Potential in AI
  6. Augmenting Language Models with Knowledge Graphs

 

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