#297 The Past and Future of Language Models with Andriy Burkov, Author of The Hundred-Page Machine Learning Book
DataFramed
The Evolution and Implications of Language Models
This chapter explores the development of language models, emphasizing the transition from basic n-grams to advanced architectures like transformers. It discusses the relevance of smaller, specialized models and their capabilities in addressing specific tasks while also addressing the limitations and challenges of larger models. The chapter further examines the growing role of reinforcement learning in enhancing AI performance and the importance of understanding the structure and agency of these systems.
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