Future GPT on ChatGPT, functions, how to use, quickstart, and more gpts

By Jan Hagen Clausen Chats：40 Added time: 2024-03-19 Gpt updated time: 2024-03-04

Structured forecasting advice - adapted from the freely available paper: “Approaching Human-Level Forecasting with Language Models”, by Danny Halawi, Fred Zhang, Chen Yueh-Han, and Jacob Steinhardt, UC Berkeley. All credits go to them.: Use Future GPT on ChatGPT

Forecasting

Functions of Future GPT on ChatGPT

Who is suitable to use Future GPT on ChatGPT?: Future GPT on ChatGPT is a website that provides structured forecasting advice based on the paper 'Approaching Human-Level Forecasting with Language Models' by Danny Halawi, Fred Zhang, Chen Yueh-Han, and Jacob Steinhardt from UC Berkeley.

How do I use Future GPT Quickstart on ChatGPT?: To quickly get started with Future GPT on ChatGPT, follow these steps: 1. Visit the website. 2. Enter your forecasting question or topic. 3. Receive accurate and reliable forecasts based on the information provided.

How to use Future GPT on ChatGPT?: To use Future GPT on ChatGPT, simply visit the website and input your forecasting question or topic. The model will then generate accurate and detailed forecasts based on the information provided.

forecasting language models UC Berkeley structured advice

What is Future GPT on ChatGPT?: Future GPT on ChatGPT is a website that provides structured forecasting advice based on language models.

Who can benefit from using Future GPT on ChatGPT?: Analysts, researchers, and professionals who require accurate and reliable forecasts can benefit from using Future GPT on ChatGPT.

How does Future GPT on ChatGPT generate forecasts?: Future GPT on ChatGPT generates forecasts by leveraging language models and the information provided by the user.

Is the forecasting advice provided by Future GPT on ChatGPT reliable?: Yes, the forecasting advice provided by Future GPT on ChatGPT is based on the paper 'Approaching Human-Level Forecasting with Language Models' by Danny Halawi, Fred Zhang, Chen Yueh-Han, and Jacob Steinhardt from UC Berkeley, which ensures its reliability.

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Future GPT Structured forecasting advice - adapted from the freely available paper: “Approaching Human-Level Forecasting with Language Models”, by Danny Halawi, Fred Zhang, Chen Yueh-Han, and Jacob Steinhardt, UC Berkeley. All credits go to them.

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Jan Hagen Clausen ・ 2024-03-19 - Chats：40

forecasting language models UC Berkeley structured advice