CoT-Planner: Chain-of-Thoughts as the Content Planner for Few-shot Table-to-Text Generation Reduces the Hallucinations from LLMs
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Updated
Feb 27, 2024
CoT-Planner: Chain-of-Thoughts as the Content Planner for Few-shot Table-to-Text Generation Reduces the Hallucinations from LLMs
This repository contains executed (with outputs of jupyter cells) Jupyter Notebook notes for the DLAI **Building Systems with the ChatGPT API** course.
This is a tool to answer anything you want to answer via BingAI, Google search with OpenAI. You can use it for building Chain-Of-Thought dataset to fine-tune your model.
Building a dashboard for OpenInterest and COT data with modern Open Source tools (Finance)
Making CoT great again, but for everyone this time!
Download and extract relevant rows from the CFTC Commitments of Traders report in Java with Spring Boot and Sqlite
We extend CoT data to Alpaca to boost its reasoning ability. We are constantly expanding our collection of instruction-tuning data, and integrating more LLMs together for easy use. (我们将CoT数据扩展到Alpaca以提高其推理能力,同时我们将不断收集更多的instruction-tuning数据集,并在我们框架下集成进更多的LLM。)
A Python script to download/update COT data and run simple search queries.
A collection of prompts and techniques to enhance the reasoning, response development, and quality of Large Language Models (LLMs).
Compute the inverse cotangent of each element retrieved from an input strided array via a callback function.
Create an iterator which computes the inverse hyperbolic cotangent of each iterated value.
Add a description, image, and links to the cot topic page so that developers can more easily learn about it.
To associate your repository with the cot topic, visit your repo's landing page and select "manage topics."