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How to Update AI Models Without Starting Over

AI models like GPT-4 are frozen in time after their initial training, creating a "knowledge cutoff" that limits their ability to stay current. Full retraining is prohibitively expensive, and post-training methods like fine-tuning or RAG pipelines can't fully solve the problem. This episode dives into emerging techniques—knowledge editing, LoRA, and continual pre-training—that aim to update models incrementally without breaking the bank or erasing what they already know. Learn how researchers are tackling catastrophic forgetting, reasoning gaps, and the engineering challenges of making AI…

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