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Localizing Language Models
This chapter explores the recent launch of the meta Lambda model and its potential for running large language models on local devices such as Macs and Raspberry Pis. It examines the architecture of transformers in comparison to CNNs, addressing efficiency and memory requirements essential for effective model execution. The discussion also introduces advanced techniques like microtile inferencing and parallel processing to optimize AI performance while reducing power consumption.