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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.
| | polukhin.tech
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| | The development of Object Detection algorithms has come a long way, starting with early computer vision and reaching a high level of accuracy through deep learning. In this post, we will look at the stages of development of these algorithms and the main methods used in modern object detection systems.
| | d2l.ai
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| | datadan.io
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| Linear regression and gradient descent are techniques that form the basis of many other, more complicated, ML/AI techniques (e.g., deep learning models). They are, thus, building blocks that all ML/AI engineers need to understand.