Remove Auto-classification Remove Metadata Remove NLP
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Use custom metadata created by Amazon Comprehend to intelligently process insurance claims using Amazon Kendra

AWS Machine Learning Blog

Enterprises may want to add custom metadata like document types (W-2 forms or paystubs), various entity types such as names, organization, and address, in addition to the standard metadata like file type, date created, or size to extend the intelligent search while ingesting the documents.

Metadata 115
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LightAutoML: AutoML Solution for a Large Financial Services Ecosystem

Unite.AI

Second, the White-Box Preset implements simple interpretable algorithms such as Logistic Regression instead of WoE or Weight of Evidence encoding and discretized features to solve binary classification tasks on tabular data. The third component are the multiple machine learning pipelines stacked and/or blended to get a single prediction.

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Empowering Model Sharing, Enhanced Annotation, and Azure Blob Backups in NLP Lab

John Snow Labs

We are thrilled to release NLP Lab 5.4 which brings a host of exciting enhancements to further empower your NLP journey. Publish Models Directly into Models HUB We’re excited to introduce a streamlined way to publish NLP models to the NLP Models HUB directly from NLP Lab.

NLP 52
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An Overview of the Top Text Annotation Tools For Natural Language Processing

John Snow Labs

Top Text Annotation Tools for NLP Each annotation tool has a specific purpose and functionality. NLP Lab is a Free End-to-End No-Code AI platform for document labeling and AI/ML model training. This is done by using state-of-the-art Spark NLP and Visual NLP pre-trained models or by tuning models to better handle specific use cases.

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Accelerate hyperparameter grid search for sentiment analysis with BERT models using Weights & Biases, Amazon EKS, and TorchElastic

AWS Machine Learning Blog

Sentiment analysis and other natural language programming (NLP) tasks often start out with pre-trained NLP models and implement fine-tuning of the hyperparameters to adjust the model to changes in the environment. script will create the VPC, subnets, auto scaling groups, the EKS cluster, its nodes, and any other necessary resources.

BERT 85
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Managing Computer Vision Projects with Micha? Tadeusiak 

The MLOps Blog

Also, science projects around technologies like predictive modeling, computer vision, NLP, and several profiles like commercial proof of concepts and competitions workshops. When we speak about like NLP problems or classical ML problems with tabular data when the data can be spread in huge databases. With NLP, that’s not so easy.

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Accelerate your generative AI distributed training workloads with the NVIDIA NeMo Framework on Amazon EKS

AWS Machine Learning Blog

It manages the availability and scalability of the Kubernetes control plane, and it provides compute node auto scaling and lifecycle management support to help you run highly available container applications. Amazon EKS is a managed Kubernetes service that makes it straightforward to run Kubernetes clusters on AWS.