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Hyperparameter Optimization in Machine Learning Models

Analytics Vidhya

Introduction One of the toughest things about making powerful models in machine learning is fiddling with many levels. In this blog post, complete with code snippets, we’ll cover what this means and how to do […] The post Hyperparameter Optimization in Machine Learning Models appeared first on Analytics Vidhya.

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Machine Learning and the Production Gap

O'Reilly on Data

The biggest problem facing machine learning today isn’t the need for better algorithms; it isn’t the need for more computing power to train models; it isn’t even the need for more skilled practitioners. I first learned about Emmanuel through articles on his blog. ) That’s what his new book is about.

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What is Chain-of-Thought Prompting and Its Benefits?

Analytics Vidhya

Introduction In the ever-evolving landscape of artificial intelligence, a groundbreaking technique known as Chain-of-Thought prompting revolutionizes how large language models solve complex problems. This approach, akin to showing one’s work in a math problem, enables AI to generate more transparent and interpretable solutions.

IT 318
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Meta offers Llama AI to US government for national security

CIO Business Intelligence

The move relaxes Meta’s acceptable use policy restricting what others can do with the large language models it develops, and brings Llama ever so slightly closer to the generally accepted definition of open-source AI. Meta will allow US government agencies and contractors in national security roles to use its Llama AI.

Modeling 126
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Companies to shift AI goals in 2025 — with setbacks inevitable, Forrester predicts

CIO Business Intelligence

2025 will be about the pursuit of near-term, bottom-line gains while competing for declining consumer loyalty and digital-first business buyers,” Sharyn Leaver, Forrester chief research officer, wrote in a blog post Tuesday. Some leaders will pursue that goal strategically, in ways that set up their organizations for long-term success.

ROI 127
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Sydney and the Bard

O'Reilly on Data

What didn’t receive as much news coverage (though in the last few days, it’s been well discussed online) are the many mistakes that Microsoft’s new search engine, Sydney, made. There are excellent summaries of these failures in Ben Thompson’s newsletter Stratechery and Simon Willison’s blog.

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An AI Chat Bot Wrote This Blog Post …

DataKitchen

This can include the use of tools for data preparation, model training, and deployment, as well as technologies for monitoring and managing data-related systems and processes. Query> DataOps. The goal of DataOps is to help organizations make better use of their data to drive business decisions and improve outcomes.