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5min chapter
Cohere co-founder Nick Frosst on building LLM apps for business
Machine Learning Street Talk (MLST)
Specialized Versus General-Purpose Large Language Models
The chapter challenges the notion of Large Language Models (LLMs) being general-purpose by discussing the effectiveness of specialized versions compared to a foundational model. It explores the evolution of machine learning models and delves into the challenges and limitations of language models in terms of generalization and practical benchmarking.
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