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Prompt Engineering Best Practices for Instruction-Tuned LLM [Part 2]
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Prompt Engineering Best Practices for Instruction-Tuned LLM [Part 2]

Last Updated on February 13, 2024 by Editorial Team

Author(s): Youssef Hosni

Originally published on Towards AI.

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 good at giving clear and specific instructions to get the expected output.

Setting Up Work Environment [Covered In Part 1]Write Clear and Specific Instructions [Covered In Part 1]Give the Model Time to ThinkOvercoming LLM HallucinationsMastering Instruction-Tuned LLMs: Strategies for Effective Prompt Engineering

Most insights I share in Medium have previously been shared in my weekly newsletter, To Data & Beyond.

If you want to be up-to-date with the frenetic world of AI while also feeling inspired to take action or, at the very least, to be well-prepared for the future ahead of us, this is for… Read the full blog for free on Medium.

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Published via Towards AI

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