Llm Inference

LLM inference refers to the process of using a large language model (LLM) to generate predictions or responses based on input data. During inference, the model applies its learned patterns and knowledge from training to understand and produce human-like text, enabling it to answer questions, complete sentences, or engage in dialogue. This stage is crucial for leveraging the capabilities of LLMs in real-time interactions.