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  2. Text-to-image model - Wikipedia

    en.wikipedia.org/wiki/Text-to-image_model

    A common algorithmic metric for assessing image quality and diversity is the Inception Score (IS), which is based on the distribution of labels predicted by a pretrained Inceptionv3 image classification model when applied to a sample of images generated by the text-to-image model. The score is increased when the image classification model ...

  3. List of open-source health software - Wikipedia

    en.wikipedia.org/wiki/List_of_open-source_health...

    HRHIS is a human resource for health information system for management of human resources for health developed by University of Dar es Salaam college of information and communication technology, Department of Computer Science and Engineering, for Ministry of Health and Social Welfare (Tanzania) and funded by the Japan International Cooperation ...

  4. Multimodal learning - Wikipedia

    en.wikipedia.org/wiki/Multimodal_learning

    Multimodal learning is a type of deep learning that integrates and processes multiple types of data, referred to as modalities, such as text, audio, images, or video.This integration allows for a more holistic understanding of complex data, improving model performance in tasks like visual question answering, cross-modal retrieval, [1] text-to-image generation, [2] aesthetic ranking, [3] and ...

  5. List of large language models - Wikipedia

    en.wikipedia.org/wiki/List_of_large_language_models

    Includes three models, Nova-Instant, Nova-Air, and Nova-Pro. DBRX: March 2024: Databricks and Mosaic ML: 136: 12T Tokens Databricks Open Model License Training cost 10 million USD. Fugaku-LLM May 2024: Fujitsu, Tokyo Institute of Technology, etc. 13: 380B Tokens The largest model ever trained on CPU-only, on the Fugaku. [90] Phi-3: April 2024 ...

  6. Artificial intelligence in healthcare - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_in...

    Such applications outside the healthcare system raise various professional, ethical and regulatory questions. [106] Another issue is often with the validity and interpretability of the models. Small training datasets contain bias that is inherited by the models, and compromises the generalizability and stability of these models.

  7. 2 West Texas healthcare systems impacted by IT outage, 1 ...

    www.aol.com/2-west-texas-healthcare-systems...

    University Medical Center Healthcare System in Lubbock, a Level 1 trauma center, announced the outage at 10 a.m. on Thursday, Sept. 26. The next day, the system confirmed it was being impacted by ...

  8. Foundation model - Wikipedia

    en.wikipedia.org/wiki/Foundation_model

    A foundation model, also known as large X model (LxM), is a machine learning or deep learning model that is trained on vast datasets so it can be applied across a wide range of use cases. [1] Generative AI applications like Large Language Models are often examples of foundation models.

  9. List of COVID-19 simulation models - Wikipedia

    en.wikipedia.org/wiki/List_of_COVID-19...

    COVID-19 simulation models are mathematical infectious disease models for the spread of COVID-19. [1] The list should not be confused with COVID-19 apps used mainly for digital contact tracing. Note that some of the applications listed are website-only models or simulators, and some of those rely on (or use) real-time data from other sources.