Browse all content tagged with Transformers
Hugging Face Transformers is a leading open-source Python library that makes it easy to implement Transformer models for machine learning tasks in NLP, computer vision, and audio processing. It provides access to thousands of pre-trained models and supports popular frameworks like PyTorch, TensorFlow, and JAX.
A Large Language Model (LLM) is a type of AI trained on vast textual data to understand, generate, and manipulate human language. LLMs use deep learning and transformer neural networks to power tasks like text generation, summarization, translation, and more across industries.
Discover sequence modeling in AI and machine learning—predict and generate sequences in data like text, audio, and DNA using RNNs, LSTMs, GRUs, and Transformers. Explore key concepts, applications, challenges, and recent research.
Text Generation with Large Language Models (LLMs) refers to the advanced use of machine learning models to produce human-like text from prompts. Explore how LLMs, powered by transformer architectures, are revolutionizing content creation, chatbots, translation, and more.
Transformers are a revolutionary neural network architecture that has transformed artificial intelligence, especially in natural language processing. Introduced in 2017's 'Attention is All You Need', they enable efficient parallel processing and have become foundational for models like BERT and GPT, impacting NLP, vision, and more.
