Remove Artificial Inteligence Remove Lambda Remove System Architecture
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Build an AI-powered document processing platform with open source NER model and LLM on Amazon SageMaker

AWS Machine Learning - AI

National Laboratory has implemented an AI-driven document processing platform that integrates named entity recognition (NER) and large language models (LLMs) on Amazon SageMaker AI. In this post, we discuss how you can build an AI-powered document processing platform with open source NER and LLMs on SageMaker.

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Creating asynchronous AI agents with Amazon Bedrock

AWS Machine Learning - AI

Advancements in multimodal artificial intelligence (AI), where agents can understand and generate not just text but also images, audio, and video, will further broaden their applications. This post will discuss agentic AI driven architecture and ways of implementing.

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How Vidmob is using generative AI to transform its creative data landscape

AWS Machine Learning - AI

Generative artificial intelligence (AI) can be vital for marketing because it enables the creation of personalized content and optimizes ad targeting with predictive analytics. LLMs don’t have straightforward automatic evaluation techniques. Therefore, human evaluation was required for insights generated by the LLM.

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Automating product description generation with Amazon Bedrock

AWS Machine Learning - AI

The system architecture comprises several core components: UI portal – This is the user interface (UI) designed for vendors to upload product images. Amazon Bedrock – Foundation models in Amazon Bedrock use the labels detected by Amazon Rekognition to generate product descriptions. This could be any database of your choice.

eCommerce 115
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Observe Everything

Cloudera

Over the past handful of years, systems architecture has evolved from monolithic approaches to applications and platforms that leverage containers, schedulers, lambda functions, and more across heterogeneous infrastructures. To do so, the platform provides a range of analytics across the complete data life cycle.

Metrics 88
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Grown-Up Lean

LeanEssays

Based on the answer to these questions, Amazon introduced a service called Lambda in 2014 that responds to events quickly and inexpensively. Lambda replaced the need for customers to pay for servers sitting around listening for events to occur – reducing the cost (and Amazon’s revenue) for event-driven systems by a factor of 5 to 10 (!).

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Official Intelligence

LeanEssays

But consider the Amazon team that came up with Lambda. Some customers report up to an order of magnitude reduction in cost when they switch to Lambda. Yet the Lambda team did not have to answer the sobering question: “Do you know how much revenue Lambda might cannibalize?” You could feel the tail wind.