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

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.

Table of Contents:

1. Setting Up Work Environment [Covered In Part 1]

2. Write Clear and Specific Instructions [Covered In Part 1]

3. Give the Model Time to Think 

4. Overcoming LLM Hallucinations 

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