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Why Mathematics Is Essential in Machine Learning
Introduction — The Black Box Myth Machine Learning is often presented as an essentially algorithmic discipline: you load data, choose a model, train it, and “i...
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Reinforcement Learning Environments: How AI Agents Learn Through Experience
Artificial intelligence agents improve through interaction and feedback, a process known as reinforcement learning RL. In this learning paradigm, an agent opera...
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[Paper] OPAL: Operator-Programmed Algorithms for Landscape-Aware Black-Box Optimization
Black-box optimization often relies on evolutionary and swarm algorithms whose performance is highly problem dependent. We view an optimizer as a short program ...
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[Paper] Self-Motivated Growing Neural Network for Adaptive Architecture via Local Structural Plasticity
Control policies in deep reinforcement learning are often implemented with fixed-capacity multilayer perceptrons trained by backpropagation, which lack structur...
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AI and the ironies of automation – Part 2
Article URL: https://www.ufried.com/blog/ironies_of_ai_2/ Comments URL: https://news.ycombinator.com/item?id=46262816 Points: 20 Comments: 0...
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AI Email Personalization: Why Your Predictive Content Blocks Are Probably Creeping People Out
Predictive content blocks are modular sections of an email that get dynamically selected and arranged based on individual recipient data. Instead of creating on...
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An Intro to Large Language Models and the Transformer Architecture: Talking to a calculator
> “All models are wrong, but some are useful.” > — George E. P. Box Overview Large language models LLMs are essentially structured sets of numerical parameters—...
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Stanford Just Killed Prompt Engineering With 8 Words
I asked ChatGPT to tell me a joke about coffee. Same joke. Every time. I changed the wording. I raised the temperature. I added creative instructions. Nothing c...
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Machine Learning Demystified: Learn the Basics with Visual Examples
How Do Machines Learn from Data? At its heart, Machine Learning is about finding relationships in data. Imagine you have data showing how many hours a student...
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[Paper] Optimized Architectures for Kolmogorov-Arnold Networks
Efforts to improve Kolmogorov-Arnold networks (KANs) with architectural enhancements have been stymied by the complexity those enhancements bring, undermining t...
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[Paper] Learning Dynamics in Memristor-Based Equilibrium Propagation
Memristor-based in-memory computing has emerged as a promising paradigm to overcome the constraints of the von Neumann bottleneck and the memory wall by enablin...
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What Is AI and How Beginners Can Use It
!Cover image for What Is AI and How Beginners Can Use Ithttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F...