The Technology Behind BLOOM Training
BLOOM is a large language model trained using the Megatron-LaNRL and DeepSpeed technologies. These tools allow for more efficient training of models, ...
BLOOM is a large language model trained using the Megatron-LaNRL and DeepSpeed technologies. These tools allow for more efficient training of models, ...
Researchers have developed a model that generates playlists based on user input, using the Sentence Transformers library. The model takes in a prompt ...
Researchers have introduced BLOOM, a new open multilingual language model that surpasses the size of other similar models. The model has over 176 bill...
Hugging Face provides a tutorial on how to perform sentiment analysis on tweets using their Transformers library. The article explains the basics of s...
Researchers at Hugging Face have implemented policy gradient methods using PyTorch, a popular deep learning framework. The implementation is part of t...
Hugging Face's blog post provides a step-by-step guide for beginners to start their first machine learning (ML) project. The article suggests breaking...
OpenAI has implemented safeguards for its DALLΒ·E 2 model to minimize the risk of generating objectionable content. These 'guardrails' aim to prevent i...
Hugging Face's researchers have developed a method to speed up large model training using an open-source library called DeepSpeed. The technique lever...
Hugging Face has announced a new feature called 'Evaluation on the Hub', which allows users to evaluate and compare models directly within their model...
Researchers have trained a neural network to play Minecraft using a massive unlabeled video dataset of human gameplay. The model was fine-tuned with o...
Hugging Face's blog post 'Getting Started with Embeddings' provides an introduction to word embeddings, a fundamental concept in natural language proc...
Hugging Face's Optimum tool allows users to convert pre-trained transformer models into the ONNX (Open Neural Network Exchange) format. This enables d...