The Big LLM Architecture Comparison: DeepSeek-V3 vs. Kimi K2
Published:Jul 19, 2025 11:11
•1 min read
•Sebastian Raschka
Analysis
This article by Sebastian Raschka provides a comparative overview of modern Large Language Model (LLM) architectures, specifically focusing on DeepSeek-V3 and Kimi K2. It likely delves into the architectural differences, training methodologies, and performance characteristics of these models. The comparison is valuable for researchers and practitioners seeking to understand the nuances of LLM design and make informed decisions about model selection or development. The article's focus on specific models allows for a more concrete and practical understanding compared to purely theoretical discussions of LLM architectures. The value lies in the practical insights it offers into the current state-of-the-art in LLM development.
Key Takeaways
- •Comparison of DeepSeek-V3 and Kimi K2 architectures.
- •Insights into modern LLM design choices.
- •Understanding the trade-offs in LLM architecture.
Reference
“From DeepSeek-V3 to Kimi K2: A Look At Modern LLM Architecture Design”