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  2. How genAI is revolutionizing the field of economics

    www.aol.com/genai-revolutionizing-field...

    Economists already utilize machine learning, a branch of AI, to analyze data and develop economic projections. But genAI is a separate technology. It underpins ChatGPT and similar tools and has ...

  3. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 2 ] [ 3 ] [ 4 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 5 ] [ 6 ] based on ...

  4. The Crystal Ball: Envisioning how AI will shape our world in 2025

    www.aol.com/finance/crystal-ball-envisioning-ai...

    Over the next 2-3 years with voice AI agents and speech models improving at such a rapid pace, most customer support, booking, healthcare, creative entertainment, social media, and education ...

  5. Goldilocks and the AI Revolution: Why mid-sized companies may ...

    www.aol.com/finance/goldilocks-ai-revolution-why...

    GenAI: The 'just right' moment for mid-sized companies? Mid-scale companies, once considered too small, may be “just right” to make the most out of today’s GenAI.

  6. Generative pre-trained transformer - Wikipedia

    en.wikipedia.org/wiki/Generative_pre-trained...

    Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.

  7. Prompt engineering - Wikipedia

    en.wikipedia.org/wiki/Prompt_engineering

    In-context learning, refers to a model's ability to temporarily learn from prompts.For example, a prompt may include a few examples for a model to learn from, such as asking the model to complete "maison → house, chat → cat, chien →" (the expected response being dog), [23] an approach called few-shot learning.

  8. fast.ai - Wikipedia

    en.wikipedia.org/wiki/Fast.ai

    In the fall of 2018, fast.ai released v1.0 of their free open-source library for deep learning called fastai (without a period), sitting atop PyTorch. Google Cloud was the first to announce its support. [6] This open-source framework is hosted on GitHub and is licensed under the Apache License, Version 2.0. [7] [8]

  9. Meet Masayoshi Son, the billionaire SoftBank founder helping ...

    www.aol.com/meet-masayoshi-son-billionaire...

    The size of Son's $100 billion Vision Fund and its investment strategies have shocked Silicon Valley investors, per Bloomberg. In early 2019, Fast Company called Son "the most powerful person in ...