Toxicity - a Hugging Face Space by evaluate-measurement
Por um escritor misterioso
Descrição
The toxicity measurement aims to quantify the toxicity of the input texts using a pretrained hate speech classification model.
Businesses tackle practical realities of hybrid models
Combined metrics ignore some arguments · Issue #423 · huggingface/evaluate · GitHub
Orca: Progressive Learning from Complex Explanation Traces of GPT-4 Paper Reading - Arize AI
Building a Comment Toxicity Ranker Using Hugging Face's Transformer Models, by Jacky Kaub
Building a Comment Toxicity Ranker Using Hugging Face's Transformer Models, by Jacky Kaub
Hugging Face Fights Biases with New Metrics
Holistic Evaluation of Language Models - Bommasani - 2023 - Annals of the New York Academy of Sciences - Wiley Online Library
FMOps/LLMOps: Operationalize generative AI and differences with MLOps
Pre-Trained Language Models and Their Applications - ScienceDirect
Detoxifying a Language Model using PPO
Jigsaw Unintended Bias in Toxicity Classification, by Pulkit Ratna Ganjeer
Human Evaluation of Large Language Models: How Good is Hugging Face's BLOOM?
Text generation with GPT-2 - Model Differently
Dynamics of online hate and misinformation
ChemGPT outputs are controllable via sampling strategy and prompt
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