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.

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).

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.