Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem
Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem
3 months ago
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Gaurav Sen on Instagram: "Have we hit an important milestone for AGI? Google Deepmind introduces "Hope", a model with continious learning capabilities. It's built on a previous Google model called Titans, and the intial results are promising. The main idea is to learn in layers, transferring long term abstract learnings to higher layers. This avoids the problem of catastrophic forgetting, where a model loses its accuracy as it's exposed to different types of tasks. Paper: https://research.google
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