βš™οΈ AI Hardware

LLM Architectures: Seven Years of Transformer Tinkering

Seven years post-GPT, LLMs look suspiciously similar. DeepSeek V3's bells and whistles? Mostly hype. Here's why evolution feels like a stall.

Elena Vasquez πŸ“… Mar 19, 2026 ⏱️ 3 min read πŸ‘οΈ 6 views
Diagram comparing GPT-2 to DeepSeek V3 and Llama 4 architectures

⚑ Key Takeaways

  • LLM architectures evolved little since GPT-2: mostly efficiency tweaks.
  • DeepSeek V3's MLA and MoE shine for inference, but no paradigm shift.
  • Hype oversells; data and training matter more than structure.

🧠 What's your take on this?

Cast your vote and see what theAIcatchup readers think

Elena Vasquez
Written by

Elena Vasquez

Senior editor at theAIcatchup. Generalist covering the biggest AI stories with a sharp, skeptical eye.

#DeepSeek V3 #GQA MLA #LLM architecture #Mixture of Experts #MoE #Multi-Head Latent Attention

Worth sharing?

Get the best AI stories of the week in your inbox β€” no noise, no spam.

Originally reported by Ahead of AI

Related Stories

πŸ“¬

Stay in the loop

The week's most important stories from theAIcatchup, delivered once a week.

No spam. Unsubscribe any time.