Building LLM From Scratch: Understanding How Large Language Models Work

📰 Medium · Python

Learn how Large Language Models work and build one from scratch using Python

intermediate Published 22 May 2026
Action Steps
  1. Read the full article on Medium to understand the basics of LLMs
  2. Build a simple LLM using Python and popular libraries like TensorFlow or PyTorch
  3. Experiment with different architectures and hyperparameters to improve model performance
  4. Train and test the model on a dataset to evaluate its effectiveness
  5. Fine-tune the model for a specific task or application
Who Needs to Know This

NLP engineers, AI researchers, and data scientists can benefit from understanding how LLMs work and building one from scratch to improve their models and applications

Key Insight

💡 Understanding how LLMs work is crucial for building and improving AI models and applications

Share This
🤖 Build your own Large Language Model from scratch using Python! 💻

Key Takeaways

Learn how Large Language Models work and build one from scratch using Python

Full Article

If you’ve spent any time using ChatGPT, Gemini, Claude, or Copilot, you already know the truth: Large Language Models feel like pure magic. Continue reading on Medium »
Read full article → ← Back to Reads

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