Navigating Embedding Spaces
Cameron discusses the complexity of embedding spaces and the challenges of interpolating between similar words. Tim explores the resilience of neural networks in handling data points off the language manifold, shedding light on the model's ability to recover coherence.In this clip
From this podcast
Machine Learning Street Talk (MLST)
What’s the Magic Word? A Control Theory of LLM Prompting.
Related Questions
How do vector embeddings work?
How do vector embeddings work in the context of the episode Mindscape 280 | François Chollet on Deep Learning and the Meaning of Intelligence and the clip Understanding Language Models?
How do vector embeddings work in the context of the episode Mindscape 280 | François Chollet on Deep Learning and the Meaning of Intelligence and the clip Understanding Language Models?