# From GPT-2 to DeepSeek: What’s Actually Inside a Language Model

1. 1Read the GPT-2 architecture to understand the basics of language models
2. 2Identify the key components of DeepSeek V3, such as MoE layers and RoPE
3. 3Analyze how the number of parameters and blocks affect the model's performance
4. 4Compare the differences between GPT-2 and DeepSeek V3 to understand the advancements in language models
5. 5Apply the knowledge of language model architecture to improve your own ML projects

ML engineers and researchers can benefit from understanding the evolution and components of language models to improve their own projects and applications

💡 Understanding the architecture of language models is crucial for improving their performance and applications

🤖 Dive into the world of language models! From GPT-2 to DeepSeek, learn about the key components and their functions #LLMs #ML