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It is all backed by very large models that are pre-trained on vast amounts of data and commonly referred to as foundation models (FMs)... The size and general-purpose nature of FMs make them different from traditional ML models, which typically perform specific tasks, like analyzing text for sentiment, classifying images, and forecasting trends... Amazon SageMaker JumpStart is an ML hub offering...

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A recent initiative is to simplify the difficulty of constructing search expressions by autofilling patent search queries using state-of-the-art text generation models... Patsnap had trained a customized GPT-2 model for such a purpose... However, in their recent experiments, the inference latency and queries per second (QPS) of a PyTorch-based GPT-2 model couldn’t meet certain thresholds that ...

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When deploying Deep Learning models at scale, it is crucial to effectively utilize the underlying hardware to maximize performance and cost benefits... For production workloads requiring high throughput and low latency, the selection of the Amazon Elastic Compute Cloud (EC2) instance, model serving stack, and deployment architecture is very important... In this post we walk you through the proces...