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?
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?
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
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?
Self-consistency prompting is a technique used to improve the performance of CoT prompting on tasks involving arithmetic and common sense reasoning [18:22]. It works by calling the language model multiple times on the same prompt and taking the result that is most consistent as the final answer. This essentially simulates how humans explore different reasoning paths before arriving at a well-informed decision. So yes, you can use self-consistency prompting in combination with CoT prompting by calling the language model multiple times on the same prompt and taking the most consistent answer as the final output.
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Very well explained. Also the examples provided are great illustrations! Congratulations!
more prompt please love your explanation.
Very well explained!! Thank you!
Glad you liked it 👍
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?
Adding memory (via RAG) is a great way to make LLM responses nuanced.
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?
Can you please mention the time stamp which you are referring to for this query?
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
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?
Self-consistency prompting is a technique used to improve the performance of CoT prompting on tasks involving arithmetic and common sense reasoning [18:22]. It works by calling the language model multiple times on the same prompt and taking the result that is most consistent as the final answer. This essentially simulates how humans explore different reasoning paths before arriving at a well-informed decision.
So yes, you can use self-consistency prompting in combination with CoT prompting by calling the language model multiple times on the same prompt and taking the most consistent answer as the final output.
@@Analyticsvidhya Thank you teacher. I'm clear now.