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Ep. 24 Why GenAI Models Don’t Continuously Learn and How It Can Be Fixed | AI Insights & Innovation
November 16, 2024
David Linthicum
Principal Analyst theCUBE Research
Most AI systems can't continuously learn. Traditional AI models are static and require augmentation like RAG for up-to-date information. Continuous learning for generative AI models is challenging due to issues like catastrophic forgetting, resource constraints, data privacy, scalability, and model accuracy. Researchers are exploring algorithms and strategies for incremental learning without forgetting previous knowledge, meta-learning approaches, adapting to non-stationary environments, and interacting with the environment to learn continuously. These effort... Read more
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