Fine-Tuning LLMs is a Huge Waste of Time

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Fine-tuning advanced LLMs for knowledge injection is counterproductive because it overwrites existing valuable information stored in densely interconnected neurons. Instead of adding knowledge, fine-tuning risks destroying the carefully built ecosystem of an already trained model. Better alternatives include retrieval-augmented

9m read timeFrom codinginterviewsmadesimple.substack.com
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Executive Highlights (TL;DR of the Article)1. LLMs as Information Ecosystems2. The Way Forward: Modular Knowledge InsertionConclusionReach out to me
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