Advanced Prompt Engineering and Agentic Workflows
Generative AI Training Course 7: Advanced Prompt Engineering and Agentic Workflows Module 7: Mastering Control and Autonomy in Generative AI This module delves into the most advanced techniques for controlling the output of Large Language Models (LLMs) through sophisticated prompting and orchestrating autonomous, multi-step workflows using AI agents. Mastery of these concepts is essential for building complex, reliable Generative AI applications. 7.1 Advanced Prompt Engineering: Beyond the Basics While basic prompting involves clear instructions, advanced techniques compel the LLM to engage in complex, structured reasoning, significantly improving performance on challenging tasks like mathematical problem-solving, logical deduction, and strategic planning. 7.1.1 Chain-of-Thought (CoT) Prompting CoT is the foundational technique where the prompt explicitly instructs the model to show its step-by-step reasoning before providing the final answer. This transforms the problem from a s...