Evolution of Large Language Model Architectures: A Critical Comparison
From DeepSeek-V3 to Kimi K2: A Look At Modern LLM Architecture Design
Read the full articleYou might also wanna read
The Attention Arms Race: How Modern Open-Source LLMs Are Reinventing the Transformer's Core
Introduction If you follow the LLM space, you've probably heard a lot about parameter counts, context windows, and benchmark scores. What ge
5 Tips for Agent-to-Model Mocking
The near-ubiquity of LLM systems in 2025 has changed the game in many ways. While Large Language Models have been around for some time...
Are Large Language Models Really Getting Smarter?
New research suggests that our growing ML models might not be as intelligent as we think. Could a novel framework change that?
Revolutionizing LLM Evaluations: A New Path to Model Mastery
A fresh evaluation framework reveals the strengths and flaws of large language models. By diving deeper into multiple aspects, we get a clea
Evolution Fine-Tuning: Using LLMs to Learn and Transfer Knowledge Across 371 Optimization Tasks
Join the discussion on this paper page
GEAK Agent-Driven Optimization of the DeepSeekV4 MLA Kernel
Optimizing LLM inference kernels requires more than a single kernel rewrite. Developers need to migrate reference implementations, analyze p
Comments
Sign in to join the conversation.
No comments yet. Be the first.