GPT-2 (Generative Pretrained Transformer 2) is a large transformer-based language model released by OpenAI. It is capable of generating coherent, diverse, and high-quality text by predicting the next word in a sequence. Trained on a massive dataset of internet text, GPT-2 excels in a wide variety of NLP tasks, such as language modeling, translation, summarization, and question answering — all without task-specific training data.
Key Features
Transformer Architecture: Based on the transformer decoder model, using self-attention.
Large-Scale Language Modeling: Trained on 40GB of internet text (WebText dataset).
Unsupervised Learning: Requires no fine-tuning for many downstream tasks.
Zero-shot Capabilities: Performs tasks like translation, Q&A, summarization without explicit training on those tasks.
Multiple Model Sizes: Available in 124M, 355M, 774M, and 1.5B parameter versions.
Text Generation Demos: Includes interactive CLI and web-based text completion demos.
Pretrained Weights: Open-sourced for all model sizes, including the full 1.5B model.
Android DevHub
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