Category: machine-learning-systems
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How to Crack Machine Learning System-Design Interviews
How to Crack Machine Learning System-Design Interviews A comprehensive guide into Meta, Apple, Reddit, Amazon, Google, and Snap ML design interviews The post How to Crack Machine Learning System-Design Interviews appeared first on Towards Data Science. Aliaksei Mikhailiuk Go to original source
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Combining Large and Small LLMs to Boost Inference Time and Quality
Combining Large and Small LLMs to Boost Inference Time and Quality Implementing Speculative and Contrastive Decoding Large Language models are comprised of billions of parameters (weights). For each word it generates, the model has to perform computationally expensive calculations across all of these parameters. Large Language models accept a sentence, or sequence of tokens, and…