Popular GitHub Repositories for A100

Dataset and code for "Coarse-Grained Density Functional Theory Predictions via Deep Kernel Learning"

Implement named entity recognition (NER) using regex and fine-tuned LLM, with a total of 15 categories. The ultimate goal is to apply the model to detect personally identifiable information (PII) in student writing.

Analyze a dataset of conversations from the Chatbot Arena, where various LLMs provide responses to user prompts. The goal is to develop a model that enhances chatbot interactions, ensuring they align more closely with human preferences.

This competition challenges you to predict which responses users will prefer in a head-to-head battle between chatbots powered by large language models (LLMs).