Generative Pre-trained Transformer (GPT) is an advanced artificial intelligence model designed for natural language processing, capable of generating human-like text based on input prompts. It leverages extensive pre-training on diverse datasets, enabling it to understand context, semantics, and nuances in language, which can be applied in various domains including product design and innovation. By facilitating ideation, automating content creation, and enhancing user interaction, GPT serves as a powerful tool in research and production processes.
This week: Graph-to-text generation, Bidirectional Dual Cross-Attention, Concatenation, Transformer-based encoders, Named Entity Recognition, Online Medical Consultation, Deep Learning, Knowledge Graphs,
This week: Meta-Transfer Learning, Multimodal Inputs, Human Pose Estimation, Lower Limbs, simulation-based learning, prompt engineering, AI-driven simulations, medical education, Deep
This week: Tokenization, Chinese, Radical-based, Language models, Automated, Formative Feedback, Algorithm, Data Structure, tokenization, Korean, word sense disambiguation, BERT, smart
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