Bias-aware prompt engineering helps reduce unfair outputs in large language models by changing how you ask questions-not by retraining the model. Learn proven techniques, real results, and how to start today.
Large language models generate text by predicting the next word based on probabilities learned from massive datasets. They don't understand meaning - they guess statistically likely sequences. This is how they sound smart without knowing anything.
Decoder-only and encoder-decoder models serve different purposes in AI. Learn which architecture fits chatbots, translation, summarization, and other tasks based on real-world performance data and industry trends.