In the rapidly evolving world of AI, developing large language model (LLM) agents requires a strategic approach centered on simplicity and composable patterns rather than complex frameworks. By focusing on clear, structured workflows such as prompt chaining and parallelization, developers can create dynamic agents capable of flexible, open-ended tasks. This blog post explores key strategies …
Building Effective Language Model Agents: Simplicity and Strategy
