Inside LLMs Part 1: How Large Language Models Read, Encode, and Position Every Word You Write |…
📰 Medium · NLP
Learn how Large Language Models read, encode, and position every word you write, and understand the magic behind ChatGPT and other AI chatbots
Action Steps
- Read the article to learn about the tokenization process in LLMs
- Experiment with different input sentences to see how LLMs respond
- Apply knowledge of LLM architecture to improve your own NLP models
- Configure a simple LLM using a library like Hugging Face Transformers
- Test the performance of your LLM on a variety of tasks
Who Needs to Know This
NLP engineers and researchers can benefit from understanding the inner workings of LLMs to improve their models and applications, while product managers can use this knowledge to design better user experiences
Key Insight
💡 LLMs use tokenization, encoding, and positioning to understand and respond to user input
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🤖 Discover the magic behind LLMs! Learn how they read, encode, and position every word you write 📚💻
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