From ce59383b201075085fa8a1f59e6e90b43e277929 Mon Sep 17 00:00:00 2001 From: Wei-Lin Chiang Date: Thu, 2 May 2024 19:56:40 +0000 Subject: [PATCH] update --- blog/2024-05-02-kaggle-competition.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/blog/2024-05-02-kaggle-competition.md b/blog/2024-05-02-kaggle-competition.md index 7ac35b43..b02ff67f 100644 --- a/blog/2024-05-02-kaggle-competition.md +++ b/blog/2024-05-02-kaggle-competition.md @@ -10,7 +10,7 @@ previewImg: /images/blog/kaggle_competition/thumb_4x.png ### Overview LMSYS and Kaggle are launching a human preference prediction competition! You are challenged to predict which responses users will prefer in head-to-head battles between Large Language Models (LLMs). You'll work with a dataset from the [Chatbot Arena](https://chat.lmsys.org), containing conversations and user preferences across various LLMs. By developing a model that accurately predicts human preferences, you'll contribute to improving chatbot performance and alignment with user expectations. The training dataset includes over 55,000 real-world user and LLM conversations and user preferences, with personally identifiable information removed. Your solution submission will be tested on a hidden test set of 25,000 samples. -The dataset includes real-world conversations with over 70 state-of-the-art LLMs, such as GPT-4, Claude 2, Llama 2, Gemini, and Mistral models. [Click here to join the competition](https://www.kaggle.com/competitions/lmsys-chatbot-arena/overview) and [here to get the dataset from huggingface.](https://huggingface.co/datasets/lmsys/lmsys-arena-human-preference-55k) +The dataset includes real-world conversations with over 70 state-of-the-art LLMs, such as GPT-4, Claude 2, Llama 2, Gemini, and Mistral models. [Click here to join the competition](https://www.kaggle.com/competitions/lmsys-chatbot-arena/overview) and download the dataset! ### Background