• Seattle Skeptics on AI
Seattle Skeptics on AI

Tag: internet-scale data

How Large Language Models Learn: Self-Supervised Training at Internet Scale
How Large Language Models Learn: Self-Supervised Training at Internet Scale

Tamara Weed, Sep, 30 2025

Large language models learn by predicting the next word across trillions of internet text samples using self-supervised training. This method, used by GPT-4, Llama 3, and Claude 3, enables unprecedented language understanding without human labeling - but comes with major costs and ethical challenges.

Categories:

Science & Research

Tags:

large language models self-supervised learning LLM training transformer models internet-scale data

Recent post

  • Hybrid Search for RAG: Combining Semantic and Keyword Retrieval for LLMs
  • Hybrid Search for RAG: Combining Semantic and Keyword Retrieval for LLMs
  • Proof-of-Concept Machine Learning Apps Built with Vibe Coding
  • Proof-of-Concept Machine Learning Apps Built with Vibe Coding
  • The Next Wave of Vibe Coding Tools: What's Missing Today
  • The Next Wave of Vibe Coding Tools: What's Missing Today
  • Security Architecture for Generative AI: Threat Models and Defenses
  • Security Architecture for Generative AI: Threat Models and Defenses
  • Open Source in the Vibe Coding Era: How Community Models Are Shaping AI-Powered Development
  • Open Source in the Vibe Coding Era: How Community Models Are Shaping AI-Powered Development

Categories

  • Enterprise Technology
  • Science & Research

Archives

  • September 2026
  • August 2026
  • July 2026
  • June 2026
  • May 2026
  • April 2026
  • March 2026
  • February 2026
  • January 2026
  • December 2025
  • November 2025
  • October 2025

Tags

vibe coding prompt engineering large language models generative AI transformer architecture LLM security AI governance Large Language Models data privacy prompt injection AI coding tools responsible AI AI compliance LLM optimization transformer models AI development AI coding assistants vector databases LLM evaluation LLM-as-a-Judge

© 2026. All rights reserved.