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| | scorpil.com
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| | In Part One of the "Understanding Generative AI" series, we delved into Tokenization - the process of dividing text into tokens, which serve as the fundamental units of information for neural networks. These tokens are crucial in shaping how AI interprets and processes language. Building upon this foundational knowledge, we are now ready to explore Neural Networks - the cornerstone technology underpinning all Artificial Intelligence research. A Short Look into the History Neural Networks, as a technology, have their roots in the 1940s and 1950s.
| | 9elements.com
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| | Combining finest craftsmanship with elegant design to ship innovative digital experiences.
| | jonathanbgn.com
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| | Since the deep learning wave started in the early 2010s, there has been much hype and disappointments. I feel that a big part of this is due to high expectations driven by research progress that do not translate so well in real-world applications. Hopefully, self-supervised learning might be able to close the gap between these two worlds. This learning paradigm is not new, but it has seen a resurgence of interest over the past few years thanks to mediatized successes like GPT-3 or BERT. Many AI pundits h...
| | ml-ops.org
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| Machine Learning Operations