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How Axfood enables accelerated machine learning throughout the organization using Amazon SageMaker

AWS Machine Learning Blog

This is a guest post written by Axfood AB. In this post, we share how Axfood, a large Swedish food retailer, improved operations and scalability of their existing artificial intelligence (AI) and machine learning (ML) operations by prototyping in close collaboration with AWS experts and using Amazon SageMaker.

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Generate a counterfactual analysis of corn response to nitrogen with Amazon SageMaker JumpStart solutions

AWS Machine Learning Blog

In his book The Book of Why , Judea Pearl advocates for teaching cause and effect principles to machines in order to enhance their intelligence. In this post, we demonstrate how to create this counterfactual analysis using Amazon SageMaker JumpStart solutions. However, association is not causation.

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MLOps Without Magic

Mlearning.ai

This is a second post in the Loris.ai MLOps cover all of the rest, how to track your experiments, how to share your work, how to version your models etc (Full list in the previous post. ). Simple, effective and maintainable. MLOps series. Improving CX conversations. If you rather jump straight to the code, here’s the repository [link].

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The Full Story of Large Language Models and RLHF

Hacker News

This is heavily due to the popularization (and commercialization) of a new generation of general purpose conversational chatbots that took off at the end of 2022, with the release of ChatGPT to the public. Thanks to the widespread adoption of ChatGPT, millions of people are now using Conversational AI tools in their daily lives.

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A 50-Year Quest: My Personal Journey with the Second Law of Thermodynamics

Hacker News

Why might that be different? I didn’t know why, but I assumed it was because I was simplifying things too much, putting everything on a grid, etc. But what I coveted most was the largest physics book collection there: a series of five plushly illustrated college textbooks. Then the third. The second. The fourth.