Toxicity - a Hugging Face Space by evaluate-measurement

The toxicity measurement aims to quantify the toxicity of the input texts using a pretrained hate speech classification model.

Machine Learning Service - SageMaker Studio - AWS

Investigating toxicity changes of cross-community redditors from 2 billion posts and comments [PeerJ]

Coby Penso على LinkedIn: #llm #huggingface #falcon #generativeai

Text generation with GPT-2 - Model Differently

Holistic Evaluation of Language Models - Gradient Flow

Breaking into the world of Natural Language Processing through Hugging Face, by Fatima Arshad

MTEB: Massive Text Embedding Benchmark – arXiv Vanity

Controlling Text Generation with Plug and Play Language Models

Improving Hugging Face Image Datasets Quality with Encord Active: A Step-by-Step Guide

Building a Comment Toxicity Ranker Using Hugging Face's Transformer Models, by Jacky Kaub

Sensors, Free Full-Text

Orca: Progressive Learning from Complex Explanation Traces of GPT-4 Paper Reading - Arize AI

ChemGPT outputs are controllable via sampling strategy and prompt

AI News, 13 December 2023 (1st Edition): Models hosted on Hugging Face, edge computing with

Multi-modal molecule structure–text model for text-based retrieval and editing