In this episode, we break down Prompt Engineering, revealing awesome strategies to get the most out of large language models by designing high-quality prompts. Learn about critical LLM settings like output length and temperature, and explore powerful prompting techniques ranging from Zero-shot and Few-shot to advanced methods like Chain of Thought and ReAct, ensuring you guide AI to produce accurate and desired outputs.
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