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    Fundamentals Of Generative AI

    Posted By: lucky_aut
    Fundamentals Of Generative AI

    Fundamentals Of Generative AI
    Published 12/2024
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 986.56 MB | Duration: 1h 19m

    Master all Importance basics of Generative AI with examples and Learn more about generative

    What you'll learn
    Learn how to use Generative AI in Learning and Development the skills
    Learn How to generate Automated Content with Generative AI
    Master some vital Generative and ChatGPT for learning and development
    Learn how to use ChatGPT in learning and development

    Requirements
    You must have a working computer

    Description
    Generative AI is a branch of artificial intelligence that focuses on creating models capable of generating new, human-like content such as text, images, music, or code. It is underpinned by deep learning and neural networks, which allow machines to learn patterns from vast datasets and produce novel outputs. Unlike traditional AI systems designed to perform specific tasks or make decisions based on predefined rules, generative AI models aim to simulate creativity by creating original and contextually relevant content.Generative AI has numerous applications, spanning multiple industries. In natural language processing, it powers chatbots, virtual assistants, and automated content creation tools. In visual domains, it is used for designing graphics, generating realistic images, and enhancing creative workflows. In healthcare, generative AI supports drug discovery, simulates medical scenarios, and aids in diagnostic imaging. It also plays a role in personalized education and entertainment, offering tailored solutions to users. For instance, a text-based model like GPT is trained on vast corpora of written material to learn grammar, syntax, and context. Through this training, the model identifies patterns and constructs probabilistic representations, allowing it to produce outputs that align with the training data's style and structure.Generative AI blends computational power and creativity, offering tools that augment human capabilities. As it evolves, its fundamental principles—data, algorithms, and training—will continue to drive its transformative impact, shaping the future of technology and society.