Chain of Thought Prompting | Self Consistency Prompting Explained | Prompt Engineering 101

👉Large Language Models are a very powerful tool. And to elicit desired information from LLMs, effective prompts are a must. And that's what Prompt Engineering is.
👉Two intermediary prompting engineering techniques: Chain of Thought Prompting and Self Consistency Prompting will improve your prompting skills.
👉Chain of Thought Prompting: Chain of Thought prompting is about guiding the LLM to think step by step!
👉Self Consistency Prompting: Self-consistency aims to simulate this process by providing the model with diverse perspectives and encouraging it to critically evaluate its own reasoning.
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[Analyticsvidhya]

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[NLPprompter]

more prompt please love your explanation.

[tofulover]

thank you for sharing. what types of prompting techniques would you recommend to incorporate empathy and increase the model's understanding of nuance in a LLM?

[arpitsisodia]

lol.. up the prompting game.
arithmetic, logical reasoning, - chain of thoughts. -step by step
reasoning is coming in answers, not in prompt. where is this info added at model in run time?

[axe]

Self-Consistency Prompting is really just a poor mans version of Stacked Ensemble with Diverse Reasoning... why not called it Ensemble Prompting or extend the concept to Sparse Stacked Ensemble Prompting

[graciasnara]

Dear Sir, thank you for your generous explanation. I understood to use "step-by-step" to apply CoT. But is there any keyword I can apply the "self-consistency" method in combination with CoT?