Chains are used to link different language models together to create more powerful models

Chains are a data structure used to store language model parameters

Chains combine various LLMS and actions automatically, allowing for dynamic decision-making based on user inputs, unlike predetermined chains with fixed sequences

Chains allow language models to be executed in parallel