Attention Is All You NeedThe seminal paper introducing the Transformer model, which has become central to many state-of-the-art NLP models.View Tool
BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingIntroduction of BERT, a new method for pre-training language representations that achieve state-of-the-art results on a variety of NLP tasks.View Tool
Generative Pretrained Transformer 3 (GPT-3)The third-generation model in the GPT-n series by OpenAI, showcasing the power of scaling up language models.View Tool
GPT-3: Language Models are Few-Shot LearnersDetails the development and capabilities of GPT-3, illustrating its few-shot learning ability across diverse tasks.View Tool
Pathways: Asynchronous Distributed Dataflow for MLDescribes Google's Pathways, proposing an innovative approach to scaling AI models and systems asynchronously.View Tool
EfficientNet: Rethinking Model Scaling for Convolutional Neural NetworksIntroduces EfficientNet, a systematic method for scaling CNN architectures, achieving state-of-the-art accuracy with significantly reduced parameters.View Tool
DALLE: Creating Images from TextPresents DALL·E, a model that generates diverse and detailed images from textual descriptions, demonstrating the intersection of language understanding and visual creativity.View Tool
T5: Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerIntroduces the T5 model, showcasing its versatility across multiple NLP tasks through a unified framework for text-to-text processing.View Tool
AI for Procedural Content Generation in GamesReviews the application of AI in generating game content, emphasizing the role of machine learning in creative processes.View Tool
Quantum Machine Learning for 6G Communication NetworksExplores the potential of quantum machine learning to revolutionize 6G communication networks, highlighting future research directions.View Tool