Optimizing data with automated intelligent document processing solutions
TutoSartup excerpt from this article:
Many organizations struggle to effectively manage and derive insights from the large amount of unstructured data locked in emails, PDFs, images, scanned documents, and more... The variety of formats, document layouts, and text makes it difficult for any standard Optical Character Recognition (OCR) to extract key insights from these data sources... To help organizations overcome these document man...
Many organizations struggle to effectively manage and derive insights from the large amount of unstructured data locked in emails, PDFs, images, scanned documents, and more... The variety of formats, document layouts, and text makes it difficult for any standard Optical Character Recognition (OCR) to extract key insights from these data sources... To help organizations overcome these document man...
AWS Security Profile: Tatyana Yatskevich, Principal Solutions Architect for AWS Identity
TutoSartup excerpt from this article:
In the AWS Security Profile series, I interview some of the humans who work in AWS Security and help keep our customers safe and secure... Our team focuses on staying current with customer use cases and emerging problems in the identity space so that we can facilitate the development of new capabilities and prescriptive guidance from AWS... To keep up with the demand in certain industries, we w...
In the AWS Security Profile series, I interview some of the humans who work in AWS Security and help keep our customers safe and secure... Our team focuses on staying current with customer use cases and emerging problems in the identity space so that we can facilitate the development of new capabilities and prescriptive guidance from AWS... To keep up with the demand in certain industries, we w...
How CyberCRX cut ML processing time from 8 days to 56 minutes with AWS Step Functions Distributed Map
TutoSartup excerpt from this article:
That’s when Charles Burton, a data systems engineer for a company called CyberGRX, found out about it and refactored his workflow, reducing the processing time for his machine learning (ML) processing job from 8 days to 56 minutes... In this case, that means continuing to improve the model and the processes for one of the key offerings from CyberGRX, a cyber risk assessment of third parties usi...
That’s when Charles Burton, a data systems engineer for a company called CyberGRX, found out about it and refactored his workflow, reducing the processing time for his machine learning (ML) processing job from 8 days to 56 minutes... In this case, that means continuing to improve the model and the processes for one of the key offerings from CyberGRX, a cyber risk assessment of third parties usi...
Improve multi-hop reasoning in LLMs by learning from rich human feedback
TutoSartup excerpt from this article:
Recent large language models (LLMs) have enabled tremendous progress in natural language understanding... Instead of collecting the reasoning chains from scratch by asking humans, we instead learn from rich human feedback on model-generated reasoning chains using the prompting abilities of the LLMs... Solution overview With the onset of large language models, the field has seen tremendous progre...
Recent large language models (LLMs) have enabled tremendous progress in natural language understanding... Instead of collecting the reasoning chains from scratch by asking humans, we instead learn from rich human feedback on model-generated reasoning chains using the prompting abilities of the LLMs... Solution overview With the onset of large language models, the field has seen tremendous progre...
How to extend the functionality of AWS Trainium with custom operators
TutoSartup excerpt from this article:
The torch...h header needs to be included when defining the kernel for you to have access to a NeuronCore-ported subset of the Pytorch C++ API: #include <torch/torch...h header from the torchneuron library: #include "torchneuron/register... If supplying the build_directory parameter, the library file will be stored in the indicated directory: import torch_neuronx from torch_neuron...
The torch...h header needs to be included when defining the kernel for you to have access to a NeuronCore-ported subset of the Pytorch C++ API: #include <torch/torch...h header from the torchneuron library: #include "torchneuron/register... If supplying the build_directory parameter, the library file will be stored in the indicated directory: import torch_neuronx from torch_neuron...
What’s new in Azure Data & AI: Helping organizations manage the data deluge
TutoSartup excerpt from this article:
To get expert help with designing and building a modern data foundation for AI, check out the Azure Migration and Modernization Program... Can ChatGPT work with your enterprise data? In 15 minutes, learn how to integrate ChatGPT into your own enterprise-grade app experiences using Azure OpenAI Service with precise control over the knowledge base, for in-context and relevant responses... ...
To get expert help with designing and building a modern data foundation for AI, check out the Azure Migration and Modernization Program... Can ChatGPT work with your enterprise data? In 15 minutes, learn how to integrate ChatGPT into your own enterprise-grade app experiences using Azure OpenAI Service with precise control over the knowledge base, for in-context and relevant responses... ...
Deliver your first ML use case in 8–12 weeks
TutoSartup excerpt from this article:
This post describes how to implement your first ML use case using Amazon SageMaker in just 8–12 weeks by leveraging a methodology called Experience-based Acceleration (EBA)... Solution overview: Machine Learning Experience-based Acceleration (ML EBA) Machine learning EBA is a 3-day, sprint-based, interactive workshop (called a party) that uses SageMaker to accelerate business outcomes by ...
This post describes how to implement your first ML use case using Amazon SageMaker in just 8–12 weeks by leveraging a methodology called Experience-based Acceleration (EBA)... Solution overview: Machine Learning Experience-based Acceleration (ML EBA) Machine learning EBA is a 3-day, sprint-based, interactive workshop (called a party) that uses SageMaker to accelerate business outcomes by ...