TWiET 561: That Cloud Looks Like A Llama - Moving on from old protocols, accessible machine learning with Predibase
This Week in Enterprise Tech (Audio)
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Optimizing AI for the Future
This chapter explores the potential and optimization techniques of large language models for IoT applications, including pruning, quantization, and distillation. It highlights the differences between neural processors and traditional GPUs, while emphasizing the importance of a structured AI strategy for enterprises. The discussion also addresses the role of LLMs in the workforce, advocating for their use as augmentative tools rather than replacements for human roles.
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Transcript
