• Seattle Skeptics on AI
Seattle Skeptics on AI

Tag: BERT vs GPT

From BERT to GPT: Understanding the Evolution of Large Language Model Architectures
From BERT to GPT: Understanding the Evolution of Large Language Model Architectures

Tamara Weed, Aug, 14 2026

Explore the architectural evolution from BERT to GPT. Learn how encoder-only and decoder-only designs shape AI capabilities in understanding versus generating text.

Categories:

Enterprise Technology

Tags:

BERT vs GPT transformer architecture large language models NLP evolution encoder decoder models

Recent post

  • Choosing Model Families for Scalable LLM Programs: Practical Guidance
  • Choosing Model Families for Scalable LLM Programs: Practical Guidance
  • Safety by Design in Generative AI: How to Embed Protections into Product Architecture
  • Safety by Design in Generative AI: How to Embed Protections into Product Architecture
  • Stochastic Depth in LLMs: How Random Layer Dropping Regularizes Deep Transformers
  • Stochastic Depth in LLMs: How Random Layer Dropping Regularizes Deep Transformers
  • Agentic Behavior in Large Language Models: Planning, Tools, and Autonomy
  • Agentic Behavior in Large Language Models: Planning, Tools, and Autonomy
  • Latency Optimization for Large Language Models: Streaming, Batching, and Caching
  • Latency Optimization for Large Language Models: Streaming, Batching, and Caching

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 prompt injection data privacy AI coding tools responsible AI AI compliance AI development multimodal generative AI LLM optimization transformer models AI code generation enterprise AI AI coding assistants

© 2026. All rights reserved.