Streamline financial workflows with generative AI for email automation

Favorite Many companies across all industries still rely on laborious, error-prone, manual procedures to handle documents, especially those that are sent to them by email. Despite the availability of technology that can digitize and automate document workflows through intelligent automation, businesses still mostly rely on labor-intensive manual document processing. This

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Shared by AWS Machine Learning June 18, 2024

Safeguard a generative AI travel agent with prompt engineering and Guardrails for Amazon Bedrock

Favorite In the rapidly evolving digital landscape, travel companies are exploring innovative approaches to enhance customer experiences. One promising solution is the integration of generative artificial intelligence (AI) to create virtual travel agents. These AI-powered assistants use large language models (LLMs) to engage in natural language conversations, providing personalized recommendations,

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Shared by AWS Machine Learning June 18, 2024

Use zero-shot large language models on Amazon Bedrock for custom named entity recognition

Favorite Name entity recognition (NER) is the process of extracting information of interest, called entities, from structured or unstructured text. Manually identifying all mentions of specific types of information in documents is extremely time-consuming and labor-intensive. Some examples include extracting players and positions in an NFL game summary, products mentioned

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Shared by AWS Machine Learning June 18, 2024

Improving air quality with generative AI

Favorite As of this writing, Ghana ranks as the 27th most polluted country in the world, facing significant challenges due to air pollution. Recognizing the crucial role of air quality monitoring, many African countries, including Ghana, are adopting low-cost air quality sensors. The Sensor Evaluation and Training Centre for West

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Shared by AWS Machine Learning June 18, 2024

Accelerate deep learning training and simplify orchestration with AWS Trainium and AWS Batch

Favorite In large language model (LLM) training, effective orchestration and compute resource management poses a significant challenge. Automation of resource provisioning, scaling, and workflow management is vital for optimizing resource usage and streamlining complex workflows, thereby achieving efficient deep learning training processes. Simplified orchestration enables researchers and practitioners to focus

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Shared by AWS Machine Learning June 17, 2024

How Twilio used Amazon SageMaker MLOps pipelines with PrestoDB to enable frequent model retraining and optimized batch transform

Favorite This post is co-written with Shamik Ray, Srivyshnav K S, Jagmohan Dhiman and Soumya Kundu from Twilio. Today’s leading companies trust Twilio’s Customer Engagement Platform (CEP) to build direct, personalized relationships with their customers everywhere in the world. Twilio enables companies to use communications and data to add intelligence

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Shared by AWS Machine Learning June 17, 2024

Scalable intelligent document processing using Amazon Bedrock

Favorite In today’s data-driven business landscape, the ability to efficiently extract and process information from a wide range of documents is crucial for informed decision-making and maintaining a competitive edge. However, traditional document processing workflows often involve complex and time-consuming manual tasks, hindering productivity and scalability. In this post, we

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Shared by AWS Machine Learning June 12, 2024

Build a custom UI for Amazon Q Business

Favorite Amazon Q is a new generative artificial intelligence (AI)-powered assistant designed for work that can be tailored to your business. Amazon Q can help you get fast, relevant answers to pressing questions, solve problems, generate content, and take actions using the data and expertise found in your company’s information

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Shared by AWS Machine Learning June 12, 2024