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Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly on Data

Someone hacks together a quick demo with ChatGPT and LlamaIndex. The system is inconsistent, slow, hallucinatingand that amazing demo starts collecting digital dust. Check out the graph belowsee how excitement for traditional software builds steadily while GenAI starts with a flashy demo and then hits a wall of challenges?

Testing 168
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Pair Programming with AI

O'Reilly on Data

These methodologies stressed iteration: building something useful, demo-ing it to the customer, taking feedback, and then improving. At this point, the IDE could translate the programmer’s code back into pseudo-code, using a tool like Pseudogen (a promising new tool, though still experimental).

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Learn how to design, measure and implement trustworthy A/B tests from leading experimentation expert Ronny Kohavi (ex-Amazon, Airbnb, Microsoft)

KDnuggets

Leading expert Ronny Kohavi, drawing from his 20+ years of experience, will walk you through the ins and outs of experimentation, identifying key insights and working through live demos in his live course, Accelerating Innovation with A/B Testing, starting January 30th.

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What you need to know about product management for AI

O'Reilly on Data

Because it’s so different from traditional software development, where the risks are more or less well-known and predictable, AI rewards people and companies that are willing to take intelligent risks, and that have (or can develop) an experimental culture. AI doesn’t fit that model.

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10 Technical Blogs for Data Scientists to Advance AI/ML Skills

DataRobot Blog

Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results. Watch a demo. These data science teams are seeing tremendous results—millions of dollars saved, new customers acquired, and new innovations that create a competitive advantage. Read the blog.

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Humans and AI: Should We Describe AI as Autonomous?

DataRobot

The experimenters simulated experiences in online travel and online dating, varying the time people waited for a search result. The experimenters also varied whether the participants were shown the hidden work that the website was doing while they were waiting for results. Request a demo. See DataRobot in Action.

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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

After experimentation, the data science teams can share their assets and publish their models to an Amazon DataZone business catalog using the integration between Amazon SageMaker and Amazon DataZone. See the YouTube playlist for some of the latest demos of Amazon DataZone and short descriptions of the capabilities available.

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