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#80 AIDAN GOMEZ [CEO Cohere] - Language as Software

Machine Learning Street Talk (MLST)

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Transformers and the Future of Language Tech

This chapter examines the limitations of transformer models in handling complex languages and the necessity for new architectures with enhanced memory capabilities. It discusses the challenges and barriers developers face when integrating large language models, emphasizing the importance of a supportive, collaborative community in fostering innovation. The chapter also explores legal implications concerning the use of these technologies and how companies can effectively navigate these issues while maintaining user engagement.

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