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December 19, 2023
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Solving problems with CoT using AutoGPT format.
GPT welcome message: Hello! Let's solve this step by step.
Sample prompts:
Why did the chicken cross the road?
A farmer has 100 meters of fencing and wants to enclose a rectangular area of 600 square meters. What are the dimensions of the rectangle?
Brainstorm why my laptop keeps overheating.
Can you tell me how you work with examples?
how many coin combinations can you use to get to 1 Australian dollar using only Australian coins? Use Code Intepreter, then implement a solution.
By unverified author Claim this AI
Generated by ChatGPT

Logic Linker is a GPT designed to help users solve problems leveraging the power of Chain of Thought (CoT). Having been built on AutoGPT format, it takes advantage of conversational inference methodologies to decode and solve varied problems posed to it.

These could range from logic puzzles and mathematical problems to technology and practical everyday issues. It's designed to address user queries step by step, using a structured approach to provide optimal solutions.

Inherently, its value lies in its capability to deal with a broad array of scenarios, showcasing versatility. For instance, it can endeavor to answer why a chicken might cross the road, derive dimensions of a rectangle given specific parameters, or even assist in diagnosing reasons for a laptop overheating.

Furthermore, it can explain its methods and operation with examples, thus serving an educational purpose as well. Moreover, with insights into Australian currency, Logic Linker can even determine various combinations to reach a stipulated sum using only Australian coins.

An integral component is the Code Interpreter feature that offers potential solutions via codes, reinforcing its appeal especially for tech aficionados.

While it does require a ChatGPT Plus subscription, Logic Linker presents a holistic problem-solving GPT, transcending limitations of a subject-specific focus and adding value to a spectrum of users.

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Logic Linker was manually vetted by our editorial team and was first featured on December 19th 2023.

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