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The Enterprise AI Show · August 5 · 15 min

Do You Even Need That Trillion-Parameter Model?

SUMMARY: We continue our Models and Money series. In this episode, Brian and Aaron explore the current state and future of AI models, focusing on model size, model harnessing, and intelligent model routing. They discuss whether bigger models are always better, the economics of AI, and how enterprise applications can benefit from tailored AI solutions. SHOW: 1051 SHOW TRANSCRIPT: The Enterprise AI Show #1051 Transcript SHOW VIDEO: https://youtu.be/tkJmeazn8Bs SHOW SPONSORS: Nasuni - Activate your data for AI and request a demo Topic: When will the models/harnesses be good enough? Why now? Benchmark Maxxing - cost to build/host/maintain 1+ trillion parameter model Past: The “wow” moments in versions really stopped around GPT4… (maybe?) Present: Race to the top/bottom, millions spent to gain SOTA for a few days Future: Will the pendulum swing back? Will bigger/faster always rule? FEEDBACK? Email: show @ the enterprise ai show dot com Bluesky: @TheEntAIShow.bsky.social Twitter/X: @TheEntAIShow Instagram: @TheEntAIShow

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SUMMARY: We continue our Models and Money series. In this episode, Brian and Aaron explore the current state and future of AI models, focusing on model size, model harnessing, and intelligent model routing. They discuss whether bigger models are always better, the economics of AI, and how enterprise applications can benefit from tailored AI solutions.

SHOW: 1051

SHOW TRANSCRIPT: The Enterprise AI Show #1051 Transcript

SHOW VIDEO: https://youtu.be/tkJmeazn8Bs

SHOW SPONSORS:

Topic: When will the models/harnesses be good enough?

  • Why now? Benchmark Maxxing - cost to build/host/maintain 1+ trillion parameter model
  • Past: The “wow” moments in versions really stopped around GPT4… (maybe?)
  • Present: Race to the top/bottom, millions spent to gain SOTA for a few days
  • Future: Will the pendulum swing back? Will bigger/faster always rule?

FEEDBACK?

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