4min chapter

Machine Learning Street Talk (MLST) cover image

Patrick Lewis (Cohere) - Retrieval Augmented Generation

Machine Learning Street Talk (MLST)

CHAPTER

The Sequential Nature of Language Models

This chapter explores how language models process information sequentially, drawing parallels between human thought and machine learning. It examines the implications of these sequential limitations on intelligence and communication, emphasizing the importance of structured approaches in both writing and model training.

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