In this episode of Generative AI 101, we break down the concept of chain-of-thought prompting—a technique that helps AI models think through complex tasks step by step, improving their logical and accurate responses. By guiding the AI, or your large language model of choice, through detailed instructions, this method enhances performance on tasks like arithmetic and decision-making. However, it’s not without challenges: it works best with large models and can be resource-intensive.

Connect with Us: If you enjoyed this episode or have questions, reach out to Emily Laird on LinkedIn. Stay tuned for more insights into the evolving world of AI and prompt engineering. And remember, you now know more about chain-of-thought prompting than you did before!