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Watsonx.ai is a platform that allows AI developers to leverage a wide range of LLMs under IBM's own Granite series and others such as Facebook's LLaMA-2, free and open-source model Mistral and many others present in Hugging Face community for a diverse set of AI development tasks.
IBM Granite is a series of decoder-only AI foundation models created by IBM. [3] It was announced on September 7, 2023, [ 4 ] [ 5 ] and an initial paper was published 4 days later. [ 6 ] Initially intended for use in the IBM's cloud-based data and generative AI platform Watsonx along with other models, [ 7 ] IBM opened the source code of some ...
The high-level architecture of IBM's DeepQA used in Watson [9]. Watson was created as a question answering (QA) computing system that IBM built to apply advanced natural language processing, information retrieval, knowledge representation, automated reasoning, and machine learning technologies to the field of open domain question answering.
"Granite 3.0" models will be made open-source, similar to other versions in IBM's Granite family of AI models. This approach differs from rivals such as Microsoft that charge customers for access ...
A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation. LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text.
IBM announced the launch of Data Science Experience at the Spark Summit 2016 in San Francisco. IBM invested $300 million in efforts to make Spark the analytics operating system for all of the company's big data efforts. [3] In June 2017, Hortonworks and IBM announced their partnership to collaborate on IBM's Data Science Experience. Hortonworks ...
Products, services, and subsidiaries have been offered from International Business Machines (IBM) Corporation and its predecessor corporations since the 1890s. [1] This list comprises those offerings and is eclectic; it includes, for example, the AN/FSQ-7, which was not a product in the sense of offered for sale, but was a product in the sense of manufactured—produced by the labor of IBM.
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