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| | www.synthesia.io
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| | 50 real-life examples of how generative AI transforms industries like agriculture, education, healthcare, and beyond. Concrete use cases + AI apps ?
| | www.analyticsvidhya.com
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| | Get to know large language models: learn how these models, trained on massive amounts of text data, can understand, analyze, and generate.
| | www.antler.co
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| | Antler presents the first comprehensive map of the Generative AIlandscape available to everyone.
| | blog.fastforwardlabs.com
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| This article is available as a notebook on Github. Please refer to that notebook for a more detailed discussion and code fixes and updates. Despite all the recent excitement around deep learning, neural networks have a reputation among non-specialists as complicated to build and difficult to interpret. And while interpretability remains an issue, there are now high-level neural network libraries that enable developers to quickly build neural network models without worrying about the numerical details of floating point operations and linear algebra.