colindoyle0000/llms-as-method-actors

LLMs as Method Actors: A Model for Prompt Engineering and Architecture

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This helps with designing and structuring prompts for large language models to achieve specific, complex outputs, like solving word puzzles. You provide the model's instructions and the task, and it shows you how different prompting strategies perform and which elements contribute to successful outcomes. This is for AI researchers, prompt engineers, or developers building LLM-powered applications who need to optimize model performance for nuanced tasks.

No commits in the last 6 months.

Use this if you are experimenting with different ways to prompt LLMs and want to systematically compare and understand which prompt engineering techniques work best for a given problem.

Not ideal if you need a simple, off-the-shelf solution for a basic text generation task or if you are not interested in the underlying mechanics of prompt design.

prompt-engineering LLM-application-development AI-research model-instruction-design natural-language-processing
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 7 / 25

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46

Forks

3

Language

Python

License

MIT

Last pushed

Nov 11, 2024

Commits (30d)

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