How LLM prompts work
Large-scale LLMs are a form of AI that focuses on understanding and generating human language. They use sophisticated machine learning algorithms, primarily neural networks, to process and analyze a massive amount of textual data. The main objective of LLMs is to produce coherent, contextually relevant, and human-like responses to given input prompts. To comprehend how LLMs function, it’s crucial to discuss their underlying architecture and the training process. Using some analogies to explain these concepts will make them easier to understand.
Architecture
LLMs, such as OpenAI’s GPT-4, are made using a special type of neural network called the Transformer. Transformers have a special structure that helps them work well with text.
One important thing in Transformers is self-attention. This means that the model can focus on different parts of a sentence and decide which words are more important in a particular context. It’s like giving...
