Unlocking the Secrets of How Large Language Models Learn
Analysis
This article offers a fascinating glimpse into the inner workings of Generative AI's Large Language Models, explaining how these systems aren't 'learning' in the human sense, but are instead masterfully mimicking patterns. Understanding this distinction is key to effectively using and trusting the outputs of LLMs, opening up exciting possibilities for their applications.
Key Takeaways
- •LLMs don't 'understand' in the human sense; they mimic patterns.
- •The core of LLM function relies on repetitive mathematical procedures.
- •This understanding helps in effectively using and trusting LLM outputs.
Reference / Citation
View Original"Instead, they follow repetitive mathematical procedures billions of times, adjusting countless internal parameters until they become very good at mimicking patterns in text."