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9min chapter
Localizing and Editing Knowledge in LLMs with Peter Hase - #679
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Exploring Knowledge Editing in Transformer Models
This chapter delves into the intricacies of editing knowledge within transformer models, discussing the storage of facts, model training methodologies, the need for updating information like player trades, and the implications of fine-tuning pre-trained models for efficient knowledge updating and privacy concerns.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode