Transformations in AI: Why Foundation Models Are the Future
Smart Talks with IBM
The Future of Deep Learning
The discovery and use of graphics processing units (GPUs) have proven to be incredibly valuable for implementing algorithms, even more so than for graphics. Deep learning, a rebrand of neural networks from the 80s, became possible due to the digitization of data and the development of faster computers. This led to a major breakthrough. Self supervised learning, a newer technology, eliminates the need for manual labeling of data, making it more efficient and powerful.
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