Unlocking the Mysteries of Token Sampling in LLMsImagine a world where machines can create text that feels almost human-made. 🤔 But how do these systems decide what to say next? The key lies in token sampling, a method crucial for generating text in Large Language Models (LLMs). In this article, we'll dive into the several facets of token sampling in LLMs, an essential component in today's AI systems.The Language Model's Role in CommunicationLarge Language Models predict probabilities for each potential next token based on a given prompt. These probabilities help the model in determining what comes next in a series by deciding which token to yield. This deliberate choice affects the quality, coherence, and relevance of the text generated. 📊 LLMs function to simulate human-like communic... Read more