Analysis
This article offers a fascinating glimpse into the inner workings of Generative AI, explaining why the answers it provides are not always the same. By breaking down the process of "next word prediction," the article unveils how Large Language Models (LLMs) make choices at a fundamental, character-by-character level.
Key Takeaways
- •LLMs predict the next character, not just the next word.
- •The scoring system of LLMs determines the probability of each character.
- •Temperature settings influence the randomness of the output.
Reference / Citation
View Original"This article explains why Generative AI (like ChatGPT and Gemini) gives slightly different answers each time, a feature that's by design."