Prompt Engineering Best Practices for Instruction-Tuned LLM [Part 1]

Author(s): Youssef Hosni

Originally published on Towards AI.

Mastering Instruction-Tuned LLMs: Strategies for Effective Prompt Engineering

Have you ever wondered why your interaction with a language model falls short of expectations? The answer may lie in the clarity of your instructions.

Picture this scenario: requesting someone, perhaps a bright but task-unaware individual, to write about a popular figure. It’s not just about the subject; clarity extends to specifying the focus — scientific work, personal life, historical role — and even the desired tone, be it professional or casual. Much like guiding a fresh graduate through the task, offering specific snippets for preparation sets the stage for success.

In this series, we’re going to help you make your talks with the language model better by getting really good at giving clear and specific instructions to get the expected output.

Setting Up Work EnvironmentWrite Clear and Specific InstructionsGive the Model Time to Think [Covered In Part 2]Overcoming LLM Hallucinations [Covered In Part 2]

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Published via Towards AI