Published Nov 13, 2024

Creating tested, reliable AI applications

Discover the transformative potential of AI technologies as Chris Benson and Daniel Whitenack delve into the overlooked landscape beyond generative AI, highlighting the crucial shift from prototypes to reliable applications, and the importance of effective testing for robust AI workflow integration.

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- Can you tell me more about the accuracy and technology behind sleep trackers?
  Asked by 53 people
- How will AI impact humanity's future?
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- Should I get an Eight Sleep mattress after listening to the episode Russell Brand & John Rich: The Mass Christian Awakening, Discernment Through God, & Lies About Iran and the clip Sleep Solutions Uncovered?
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- What role can AI play in various fields?
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- What are the latest breakthroughs in AI?
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- What can we expect in the future of AI?
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- Tell me something about artificial intelligence
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- How does the technology in Eight Sleep work technically to control temperature in the episode Russell Brand on his Baptism, Big Pharma, Donald Trump, and the Globalists’ Attempt to Become God and the clip Sleep Technology Insights?
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- Explain the features of the Eight Sleep mattress cover
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- How does the technology in Eight Sleep work technically to control temperature?
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- What advancements can we expect in AI in the future?
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- How will AI change software?
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- What is the latest news in artificial intelligence?
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- What is the current sentiment around the maturation of AI technology?
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- Is reinforcement learning a turning point for large language models (LLMs) and artificial intelligence (AI)?
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Creating tested, reliable AI applications

Topics covered

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Questions from this episode

Episode Highlights

AI Model Limitations

Transition to ProductionThe transition from AI prototypes to reliable software applications is crucial for scalability and effectiveness. Daniel Whitenack and Chris Benson discuss the importance of choosing the right tools and languages to ensure robust deployment.

Transition to Production

AI Workflow Testing

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