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Run inference at scale for OpenFold, a PyTorch-based protein folding ML model, using Amazon EKS

AWS Machine Learning

Model weights are available via scripts in the GitHub repository , and the MSAs are hosted by the Registry of Open Data on AWS (RODA). We use aws-do-eks , an open-source project that provides a large collection of easy-to-use and configurable scripts and tools to enable you to provision EKS clusters and run your inference.

APIs 77
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Enhancing AWS intelligent document processing with generative AI

AWS Machine Learning

AWS intelligent document processing (IDP), with AI services such as Amazon Textract , allows you to take advantage of industry-leading machine learning (ML) technology to quickly and accurately process data from any scanned document or image. Traditional document processing solutions are manual, expensive, error prone, and difficult to scale.

APIs 75
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A Comprehensive Guide to Virtual Call Center and Contact Centers

Hodusoft

That made virtual call centers and contact centers extremely popular in the call center industry. In today’s time, starting a traditional call center will either require breaking the bank and withdrawing the entire life’s savings for the purpose or taking a huge loan and remaining indebted for a long time to come.

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Access private repos using the @remote decorator for Amazon SageMaker training workloads

AWS Machine Learning

However, organizations operating in regulated industries like banking, insurance, and healthcare operate in environments that have strict data privacy and networking controls in place. It’s often also mandated to have such network isolation as part of the auditory and industrial compliance rules. and model.py gamma: float = 0.7,

Scripts 57
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Identify key insights from text documents through fine-tuning and HPO with Amazon SageMaker JumpStart

AWS Machine Learning

Organizations across industries such as retail, banking, finance, healthcare, manufacturing, and lending often have to deal with vast amounts of unstructured text documents coming from various sources, such as news, blogs, product reviews, customer support channels, and social media. Text classification.

Scripts 72
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Zero-shot and few-shot prompting for the BloomZ 176B foundation model with the simplified Amazon SageMaker JumpStart SDK

AWS Machine Learning

BLOOM is an autoregressive LLM trained to continue text from a prompt on vast amounts of text data using industrial-scale computational resources. He is the son of Antoine Riboud, the previous CEO, who transformed the former European glassmaker BSN Group into a leading player in the food industry. He is the CEO at Danone.

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FMOps/LLMOps: Operationalize generative AI and differences with MLOps

AWS Machine Learning

In this scenario, the generative AI application, designed by the consumer, must interact with the fine-tuner backend via APIs to deliver this functionality to the end-users. Some models may be trained on diverse text datasets like internet data, coding scripts, instructions, or human feedback. 15K available FM reference Step 1.