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IBM Granite is a series of decoder-only foundation models created by IBM.It was announced on September 7, 2023, and an initial paper was published 4 days later. Initially intended for use in the IBM's cloud-based data and generative AI platform Watsonx along with other models, IBM opened the source code of some code models.
Watsonx was revealed on May 9, 2023, at the annual Think conference of IBM as a platform that includes multiple services. Just like Watson AI computer with the similar name, Watsonx was named after Thomas J. Watson, IBM's founder and first CEO. On February 13, 2024, Anaconda partnered with IBM to embed its open-source Python packages into Watsonx.
In December 2020, Mila teamed up with IBM to accelerate artificial intelligence (AI) and machine learning research using open-source technology in a bid to integrate the Quebec institute’s open-source software, Oríon, with IBM’s Watson Machine Learning Accelerator, an AI model training and inference tool that the tech giant offers to ...
The term “open-source” comes from a decades-old practice of building software in which the code is free or widely accessible for anyone to examine, modify and bu AI's future could be 'open ...
The Open Neural Network Exchange ( ONNX) [ ˈɒnɪks] [2] is an open-source artificial intelligence ecosystem [3] of technology companies and research organizations that establish open standards for representing machine learning algorithms and software tools to promote innovation and collaboration in the AI sector. ONNX is available on GitHub .
Google unveils new family of open-source AI models called Gemma to take on Meta and others—deciding open-source AI ain’t so bad after all. Jeremy Kahn. February 21, 2024 at 8:00 AM.
Also, providing goods like physical installation media (e.g., DVDs) can be a commercial service. Open-source companies using this business model successfully are, for instance RedHat, [7] IBM, SUSE, Hortonworks (for Apache Hadoop ), Chef, and Percona (for open-source database software).
Open source models are proving increasingly popular with companies that are seeking more control over both the output of generative AI models and ways to reduce the cost of generative AI applications.