LLMs and Agents: How do they Work?
SMRTR summary
Large Language Models work by using neural networks with billions of parameters that learn language patterns through a multi-step training process, starting with basic text prediction and advancing to instruction-following and reasoning capabilities. AI agents then wrap these LLMs in control loops that enable tool use and multi-step task execution, potentially disrupting traditional software businesses.
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