Tag: machine-learning

All the articles with the tag "machine-learning".

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  llm-concepts

  23 Apr, 2026 · 8 min read

  Mixture of Experts: Why 671B Does Not Equal 671B

  A 671B Mixture of Experts model can be faster and cheaper to run than a dense 70B. The headline parameter count stopped meaning what it used to mean.

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  llm-concepts

  23 Apr, 2026 · 6 min read

  Parameter Counts and Scaling Laws: What 70B Actually Means

  What does 70B actually mean? It tells you about memory requirements, inference speed, and training costs, but almost nothing about model quality on its own.

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  ai

  5 Mar, 2026 · 8 min read

  AI Inference and Scaling: From Training to Serving Billions

  How trained AI models serve billions of requests through inference optimization, scaling infrastructure, and cost engineering.

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  ai

  3 Mar, 2026 · 9 min read

  AI Training: How Models Get Smart

  How AI training works, from gradient descent and backpropagation to RLHF, synthetic data, and the emerging possibility of recursive self-improvement.

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  neural-networks

  Updated: 28 Feb, 2026 · 11 min read

  Neural Networks: How AI Mimics the Brain

  How artificial neurons combine into networks that recognize images, understand language, and generate text. From perceptrons to transformers.

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  machine-learning

  26 Feb, 2026 · 12 min read

  Machine Learning: How Computers Learn from Data

  How computers find patterns without being told the rules. Supervised learning, gradient descent, and why data quality matters more than algorithms.