GPT 4 is Smarter than You Assume: Introducing SmartGPT

On this video, I cannot solely present you methods to get smarter outcomes from GPT 4 your self, I may even showcase SmartGPT, a system which I imagine, with proof, may assist beat MMLU state-of-the-art benchmarks.

This could function your final information for reinforcing the automated technical efficiency of GPT 4, with out even needing few shot exemplars.

The video will cowl papers printed within the final 72 hours, like Robotically Found Chain of Thought, which beats even ‘Let’s suppose Step by Step’ and the strategy that mixes all of it.

Sure, the video additionally touches on the OpenAI DeepLearning Immediate Engineering Course however the highlights come extra from my very own experiments utilizing the MMLU benchmark, and drawing upon insights from the latest Boosting Concept of Thoughts, and Let’s Work This Out Step By Step, and mixing it with Reflexion and Dialogue Enabled Resolving Brokers.

Prompts Frameworks:

Reply: Let’s work this out in a step-by-step method to make sure we’ve got the best reply

You’re a researcher tasked with investigating the X response choices supplied. Listing the issues and defective logic of every reply choice. Let’s work this out in a step-by-step method to make sure we’ve got all of the errors:

You’re a resolver tasked with 1) discovering which of the X reply choices the researcher thought was finest 2) bettering that reply, and three) Printing the improved reply in full. Let’s work this out in a step-by-step method to make sure we’ve got the best reply:

Robotically Found Chain of Thought: https://arxiv.org/pdf/2305.02897.pdfKarpathy Tweet: https://twitter.com/karpathy/status/1529288843207184384Greatest immediate: Concept of Thoughts: https://arxiv.org/ftp/arxiv/papers/2304/2304.11490.pdfFew Shot Enhancements: https://sh-tsang.medium.com/review-gpt-3-language-models-are-few-shot-learners-ff3e63da944dDera Dialogue Paper: https://arxiv.org/pdf/2303.17071.pdfMMLU: https://arxiv.org/pdf/2009.03300v3.pdfGPT 4 Technical report: https://arxiv.org/pdf/2303.08774.pdfReflexion paper: https://arxiv.org/abs/2303.11366Why AI is Good and Silly: https://www.youtube.com/watch?v=SvBR0OGT5VI&t=1sLennart Heim Video: https://www.youtube.com/watch?v=7EwAdTqGgWM&t=67s

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