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  1. en.wikipedia.org › wiki › Yann_LeCunYann LeCun - Wikipedia

    Yann André LeCun [1] ( / ləˈkʌn / lə-KUN, French: [ləkœ̃]; [2] originally spelled Le Cun; [2] born 8 July 1960) is a French-American computer scientist working primarily in the fields of machine learning, computer vision, mobile robotics and computational neuroscience. He is the Silver Professor of the Courant Institute of Mathematical ...

  2. Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. Recently, artificial neural networks have been able to surpass many previous approaches in performance.

  3. v. t. e. Multimodal learning, in the context of machine learning, is a type of deep learning using multiple modalities of data, such as text, audio, or images. In contrast, unimodal models can process only one type of data, such as text (typically represented as feature vectors) or images. Multimodal learning is different from combining ...

  4. Learning pyramid. The learning pyramid (also known as “the cone of learning”, “the learning cone”, “the cone of retention”, “the pyramid of learning”, or “the pyramid of retention”) [1] is a group of ineffective [2] learning models and representations relating different degrees of retention induced from various type of learning.

  5. Prompt engineering is the process of structuring an instruction that can be interpreted and understood by a generative AI model. [1] [2] A prompt is natural language text describing the task that an AI should perform. [3] A prompt for a text-to-text language model can be a query such as "what is Fermat's little theorem?", [4] a command such as "write a poem about leaves falling", [5] or a ...

  6. Overview Deep learning Depiction of a basic artificial neural network Deep learning is a form of machine learning that utilizes a neural network to transform a set of inputs into a set of outputs via an artificial neural network.Deep learning methods, often using supervised learning with labeled datasets, have been shown to solve tasks that involve handling complex, high-dimensional raw input ...

  7. Groups of students undertaking project-based learning. Project-based learning is a teaching method that involves a dynamic classroom approach in which it is believed that students acquire a deeper knowledge through active exploration of real-world challenges and problems. [1] Students learn about a subject by working for an extended period of ...

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