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2. Clarifai - Wikipedia

   en.wikipedia.org/wiki/Clarifai

   Clarifai was founded in 2013 by Matthew Zeiler after taking the top five places in the image classification at the 2013 ImageNet [1] [2] [3] Challenge. Initially, the company offered free and paid versions of image and video recognition and six pre-built models (processing blocks that convert images or videos to predictions) via their API and a consumer-facing iPhone app called Forevery.

3. Tanagra (machine learning) - Wikipedia

   en.wikipedia.org/wiki/Tanagra_(machine_learning)

   Tanagra is a free suite of machine learning software for research and academic purposes developed by Ricco Rakotomalala at the Lumière University Lyon 2, France. [1] [2] Tanagra supports several standard data mining tasks such as: Visualization, Descriptive statistics, Instance selection, feature selection, feature construction, regression, factor analysis, clustering, classification and ...

4. Apple Intelligence - Wikipedia

   en.wikipedia.org/wiki/Apple_Intelligence

   Apple Intelligence is an artificial intelligence system developed by Apple Inc. [2] Relying on a combination of on-device and server processing, it was announced on June 10, 2024, at WWDC 2024, as a built-in feature of Apple's iOS 18, iPadOS 18, and macOS Sequoia, which were announced alongside Apple Intelligence.

5. Caffe (software) - Wikipedia

   en.wikipedia.org/wiki/Caffe_(software)

   Caffe (Convolutional Architecture for Fast Feature Embedding) is a deep learning framework, originally developed at University of California, Berkeley. It is open source , under a BSD license . [ 4 ]

6. List of educational software - Wikipedia

   en.wikipedia.org/wiki/List_of_educational_software

   1.11 Managed learning environments. 1.12 Mathematics. 1.13 Music. 1.14 ... This is a list of educational software that is computer software whose primary purpose is ...

7. Llama (language model) - Wikipedia

   en.wikipedia.org/wiki/Llama_(language_model)

   Llama 1 models are only available as foundational models with self-supervised learning and without fine-tuning. Llama 2 – Chat models were derived from foundational Llama 2 models. Unlike GPT-4 which increased context length during fine-tuning, Llama 2 and Code Llama - Chat have the same context length of 4K tokens. Supervised fine-tuning ...