Inside LLMs Part 1: How Large Language Models Read, Encode, and Position Every Word You Write |…

📰 Medium · Machine Learning

Learn how Large Language Models (LLMs) process and understand human language, and why this matters for building more accurate AI models

intermediate Published 19 May 2026
Action Steps
  1. Read the article to understand the basics of LLM architecture
  2. Explore the tokenization process used by LLMs to encode words
  3. Investigate how positional encoding affects the model's understanding of word order
  4. Apply this knowledge to fine-tune LLMs for specific tasks or domains
  5. Compare the performance of different LLMs on various benchmarks
Who Needs to Know This

NLP engineers, data scientists, and AI researchers can benefit from understanding how LLMs work, as it can inform their model development and improvement efforts

Key Insight

💡 LLMs use tokenization and positional encoding to process and understand human language, allowing them to generate accurate and context-specific responses

Share This
🤖 How do Large Language Models read and understand human language? Learn the basics of LLM architecture and improve your AI models! #LLMs #NLP
Read full article → ← Back to Reads