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Deploy self-service question answering with the QnABot on AWS solution powered by Amazon Lex with Amazon Kendra and large language models

AWS Machine Learning Blog

Powered by Amazon Lex , the QnABot on AWS solution is an open-source, multi-channel, multi-language conversational chatbot. When you deploy QnABot, you can choose to automatically deploy a state-of-the-art open-source LLM model ( Falcon-40B-instruct ) on an Amazon SageMaker endpoint. We also discuss some relevant use cases.

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Build a receipt and invoice processing pipeline with Amazon Textract

AWS Machine Learning Blog

In this post, we show how to automate the accounts payable process using Amazon Textract for data extraction. Approved and rejected documents go to their respective folders within the Amazon Simple Storage Service (Amazon S3) bucket. One area that holds significant potential for improvement is accounts payable.

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AI-Based Voice Assistance Capabilities

Becoming Human

Intelligent virtual assistants such as Apple’s Siri, Amazon Alexa, Google Now, and Microsoft Cortana perform important business functions for personalized and engaging customer service. Amazon Alexa was launched in 2014 and functions as a household assistant. This technology relies on location awareness and user input. billion by 2024.

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Schedule your notebooks from any JupyterLab environment using the Amazon SageMaker JupyterLab extension

AWS Machine Learning Blog

Examples of such use cases include scaling up a feature engineering job that was previously tested on a small sample dataset on a small notebook instance, running nightly reports to gain insights into business metrics, and retraining ML models on a schedule as new data becomes available.

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Configure and use defaults for Amazon SageMaker resources with the SageMaker Python SDK

AWS Machine Learning Blog

The Amazon SageMaker Python SDK is an open-source library for training and deploying machine learning (ML) models on Amazon SageMaker. Enterprise customers in tightly controlled industries such as healthcare and finance set up security guardrails to ensure their data is encrypted and traffic doesn’t traverse the internet.

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Designing great AI products?—?Personality and emotion

Becoming Human

An AI with a personality can also set unrealistic expectations about its capabilities. Collaborative settings where humans and machines partner up, collaborate and help each other. Photo by Jason Leung on Unsplash We tend to anthropomorphize AI systems, i.e., we impute them with human-like qualities.

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Revolutionizing Retail: 6 Ways on How AI In Retail Is Transforming the Industry

Pickl AI

Overview of How AI Is Changing Retail AI-powered systems will work to optimize customer experience, manage inventory and in sales forecasting. Key Updates on AI Development: A study by Accenture found that retailers using AI can expect to see an average increase in sales of up to 35%.