GPT 4 is Smarter than You Think: Introducing SmartGPT

TL;DR

SmartGPT aims to produce smarter GPT-4 results by combining step-by-step prompting, multiple candidate outputs, self-reflection, and a final resolving dialogue. The featured prompt raised accuracy from 81% for a direct question to 89%, compared with 86% for “Let’s think step by step.” The system also consistently corrected a clothes-drying problem that GPT-4 answered incorrectly, making its workflow and further optimization ideas worth exploring.

Transcript

I have three goals for this video first I want to show you a way of using gpt4 to get smarter results second I want to argue that The Benchmark results we have for GT4 do not reflect its full abilities and third I want to show you a system that I am developing somewhat cheekily called smart GPT that is already showing significant results on officia... Read More

Key Insights

• ⛓️ Chaining prompts and generating multiple outputs increase the chances of obtaining accurate answers with GPT-4.
• 🤳 Self-reflection enables GPT-4 to identify and rectify errors in its outputs.
• 👻 Dialoguing with itself allows GPT-4 to select the best answer, refining its overall performance.
• 📱 Smart GPT showcases the potential for future AI models to significantly improve benchmark results.
• 🪘 Further refinements, such as optimized prompts, longer dialogues, different temperatures, and tool integration, can enhance the performance of Smart GPT.

Questions & Answers

Q: How does SmartGPT improve GPT-4’s answers?

SmartGPT combines a step-by-step prompt, multiple candidate outputs, self-reflection, and a resolving dialogue. GPT-4 examines possible errors and then selects or produces a final improved answer, although the speaker notes that reflection does not always detect mistakes.

Q: What step-by-step prompt does SmartGPT use?

SmartGPT adds: “Answer: Let’s work this out in a step-by-step way to be sure we have the right answer.” The transcript reports 89% accuracy with this prompt, compared with 81% for a direct question and 86% with “Let’s think step by step.”

Q: Why does SmartGPT generate multiple outputs?

GPT-4 does not necessarily return the same response every time because its output is randomly sampled from an internal probability distribution. Generating several candidates increases the opportunity to include a correct answer when some outputs are right and others are wrong.

Q: How many candidate outputs did the SmartGPT tests typically use?

The speaker typically generated three outputs during testing. He says the system could generate more depending on the available context window.

Q: How does self-reflection help SmartGPT?

SmartGPT asks GPT-4 to inspect its candidate answers and identify their errors using a step-by-step prompt. The speaker says GPT-4 can detect mistakes quite often in some cases, but certain errors remain beyond its ability to recognize.

Q: What role does dialogue play in SmartGPT?

After reflection, GPT-4 enters a short dialogue modeled on a format from a paper mentioned in the transcript. It acts as a resolver, compares the outputs, and prints a final improved response.

Q: How did SmartGPT solve the clothes-drying example?

GPT-4 said that if five clothes took five hours to dry, 30 clothes would take 30 hours. SmartGPT consistently produced the correct answer instead and included context and the assumptions behind its reasoning.

Q: How could SmartGPT be improved further?

The speaker identifies the dialogue stage as especially open to optimization. One proposed direction is a council of GPT-4 advisers imitating roles such as mathematicians and judges, rather than relying only on the current resolver.

Summary & Key Takeaways

• GPT-4's ability to provide accurate answers can be enhanced by using chaining prompts, such as "Let's work this out in a step-by-step way."

• Multiple outputs generated by GPT-4 increase the chances of obtaining the correct answer, as the model's sampling process introduces randomness.

• Self-reflection allows GPT-4 to detect errors in its own outputs, leading to potential improvements in accuracy.

• Engaging in a dialogue with itself, GPT-4 can resolve errors, further refining its final answer.