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Monthly Roundup: Navigating the Peaks and Valleys of Generative AI Technology

Ben Lorica and Paco Nathan on LLM User Interfaces, AI Alignment, GenAI in the Enterprise, and a GenAI Scorecard.

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This is our monthly conversation on topics in AI and Technology with Paco Nathan, the founder of Derwen, a boutique consultancy focused on Data and AI.

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Interview highlights – key sections from the video version:

  1. LLM Interface Innovation: Anthropic’s Claude 3.5 and the Power of “Artifacts”
  2. Code Generation and the Evolution of AI-Assisted Software Development Workflows
  3. Beyond Infinite Scrolling: The Need for Innovative LLM Interfaces
  4. Navigating the Challenges of Generative AI: Risks, Opportunities, and the Need for Taxonomies
  5. Understanding the Nuances of Generative AI Risks: Proper Use, Misuse, and Attacks
  6. AI Alignment Platforms: A Centralized Approach to Managing AI Risks at Scale
  7. Demystifying Graph RAG: Components, Challenges, and the Importance of Domain Expertise
  8. The Importance of Experimentation and Infrastructure for Graph RAG and LLMs
  9. The Environmental Footprint of AI: Power Consumption, Resource Use, and the Need for Mitigation
  10. Evolutionary Scale’s ESMFold: Accelerating Scientific Discovery with AI-Powered Protein Design
  11. AI as a Catalyst for Scientific Breakthroughs: From Protein Design to Weather Modeling
  12. LLM Routers, AI in Mathematics, and the FTC’s Watchful Eye on AI Services
  13. Recommendations

 

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