Evaluating LLMs for Inference, or Lessons from Teaching for Machine Learning
opportunities recently to work on the task of evaluating LLM Inference performance, and I think it’s a good topic to ...
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How to Make AI Faster and Smarter—With a Little Help from Physics
What exactly is AI Scientist—just a fancy kind of neural net? It’s not a single neural network, but rather an ...
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Gaining Strategic Clarity in AI
Introducing the AI strategy playbook The post Gaining Strategic Clarity in AI appeared first on Towards Data Science. Source link ...
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What Is Google One? A Breakdown of Plans, Pricing, and Included Services
Courtesy of Simon Hill In the unlikely event that 2 terabytes is not enough, you can increase your storage. The ...
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Hands-On Attention Mechanism for Time Series Classification, with Python
is a game changer in Machine Learning. In fact, in the recent history of Deep Learning, the idea of allowing ...
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GAIA: The LLM Agent Benchmark Everyone’s Talking About
were making headlines last week. In Microsoft’s Build 2025, CEO Satya Nadella introduced the vision of an “open agentic web” ...
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Why Anthropic’s New AI Model Sometimes Tries to ‘Snitch’
The hypothetical scenarios the researchers presented Opus 4 with that elicited the whistleblowing behavior involved many human lives at stake ...
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Why Regularization Isn’t Enough: A Better Way to Train Neural Networks with Two Objectives
neural networks, we often juggle two competing objectives. For example, maximizing predictive performance while also meeting a secondary goal like fairness, interpretability, ...
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New to LLMs? Start Here | Towards Data Science
to start studying LLMs with all this content over the internet, and new things are coming up each day. I’ve ...
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Prototyping Gradient Descent in Machine Learning
Learning Supervised learning is a category of machine learning that uses labeled datasets to train algorithms to predict outcomes and ...
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