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The Stanford Institute for Human-Centered Artificial Intelligence's (HAI) Center for Research on Foundation Models (CRFM) coined the term "foundation model" in August 2021 [16] to mean "any model that is trained on broad data (generally using self-supervision at scale) that can be adapted (e.g., fine-tuned) to a wide range of downstream tasks". [17]
C++: Graphical user interface: Yes No Yes No Analytical differentiation No No No No Yes Yes OpenNN: Artelnics 2003 GNU LGPL: Yes Cross-platform: C++: C++: Yes No Yes No ? ? No No No ? Yes PlaidML: Vertex.AI, Intel: 2017 Apache 2.0: Yes Linux, macOS, Windows: Python, C++, OpenCL: Python, C++? Some OpenCL ICDs are not recognized No No Yes Yes Yes ...
C++ is a compiled language that can interact with low-level hardware. In the context of AI, it is particularly used for embedded systems and robotics. Libraries such as TensorFlow C++, Caffe or Shogun can be used. [1] JavaScript is widely used for web applications and can notably be executed with web browsers. Libraries for AI include ...
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 code models.
OpenCog, a GPL-licensed framework for artificial intelligence written in C++, Python and Scheme. [15] PolyAnalyst: A commercial tool for data mining, text mining, and knowledge management. [88] RapidMiner, an environment for machine learning and data mining, now developed commercially. [89]
Open-source artificial intelligence is an AI system that is freely available to use, study, modify, and share. [1] These attributes extend to each of the system's components, including datasets, code, and model parameters, promoting a collaborative and transparent approach to AI development. [1]
Caffe is being used in academic research projects, startup prototypes, and even large-scale industrial applications in vision, speech, and multimedia. Yahoo! has also integrated Caffe with Apache Spark to create CaffeOnSpark, a distributed deep learning framework.
Originally, Llama was only available as a foundation model. [6] Starting with Llama 2, Meta AI started releasing instruction fine-tuned versions alongside foundation models. [7] Model weights for the first version of Llama were made available to the research community under a non-commercial license, and access was granted on a case-by-case basis.