To present our proof of concept, we trained a baseline model, GPT2, with the Korean Wikipedia dataset in 2022. Then, we employed DistilBERT and KoBERT for comparison. The extracted hidden_state_output ...

The model can quickly search documents, whether they are text-based or include images, diagrams, graphs, tables, code, diagrams, or other components. Embedding models help transform complex data ...

Study reveals most used AI models for text, image, and video generation, highlighting adoption trends and emerging industry leaders. Quora's Poe shares data on top AI models. Study looks at most ...

Meta’s latest AI model is ImageBind: a multimodal model that combines six types of data. It’s just a research project for now, but models like this have enabled the current AI boom.

Retrieval-augmented generation, or RAG, integrates external data sources to reduce hallucinations and improve the response accuracy of large language models. Retrieval-augmented generation (RAG ...

Researchers have trained a machine learning model to identify people with post-traumatic stress disorder with 80 per cent accuracy by analyzing text data. The model could one day serve as an ...

EleutherAI, an AI research organization, has released what it claims is one of the largest collections of licensed and open-domain text for training AI models. The dataset, called the Common Pile ...

Training artificial intelligence (AI) models on AI-generated text quickly leads to the models churning out nonsense, a study has found. This cannibalistic phenomenon, termed model collapse, could ...

On Friday, Roblox announced plans to introduce an open source generative AI tool that will allow game creators to build 3D environments and objects using text prompts, reports MIT Tech Review.The ...

Patients’ medical records are a rich source of data for AI models. Credit: Christopher Furlong/Getty. A generative artificial intelligence (AI) model has been let loose on an entire nation’s ...