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  2. Perplexity AI - Wikipedia

    en.wikipedia.org/wiki/Perplexity_AI

    Perplexity Spaces was released in October 2024 as an AI-powered collaboration hub. The platform allows users to create customized knowledge spaces that combine web searches with personal file integration. Users can upload up to 50 different documents, with a 25MB size limit per file. [19]

  3. Alibaba Ups AI Game, Says Its Qwen2.5 Max Beats ... - AOL

    www.aol.com/finance/alibaba-ups-ai-game-says...

    In the newly released family of AI models, Qwen2.5-VL can parse files, comprehend videos, count objects in images, and control a PC. This model is similar to the one powering OpenAI's recently ...

  4. Applications of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Applications_of_artificial...

    AI-based media analysis can facilitate media search, the creation of descriptive keywords for content, content policy monitoring (such as verifying the suitability of content for a particular TV viewing time), speech to text for archival or other purposes, and the detection of logos, products or celebrity faces for ad placement.

  5. Semantic analysis (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Semantic_analysis_(machine...

    In machine learning, semantic analysis of a text corpus is the task of building structures that approximate concepts from a large set of documents. It generally does not involve prior semantic understanding of the documents. Semantic analysis strategies include: Metalanguages based on first-order logic, which can analyze the speech of humans.

  6. Nvidia debuts AI model that can create music, mimic speech - AOL

    www.aol.com/finance/nvidia-debuts-ai-model...

    The model can generate audio via standard word prompts as well as manipulate audio files that you upload. So if you have a file of a person speaking, you could translate that person’s words to ...

  7. Data Version Control (software) - Wikipedia

    en.wikipedia.org/wiki/Data_Version_Control...

    Data and model versioning is the base layer [21] of DVC for large files, datasets, and machine learning models. It allows the use of a standard Git workflow, but without the need to store those files in the repository. Large files, directories and ML models are replaced with small metafiles, which in turn point to

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