Identify cybersecurity anomalies in your Amazon Security Lake data using Amazon SageMaker

Favorite Customers are faced with increasing security threats and vulnerabilities across infrastructure and application resources as their digital footprint has expanded and the business impact of those digital assets has grown. A common cybersecurity challenge has been two-fold: Consuming logs from digital resources that come in different formats and schemas

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Shared by AWS Machine Learning December 21, 2023

Llama Guard is now available in Amazon SageMaker JumpStart

Favorite Today we are excited to announce that the Llama Guard model is now available for customers using Amazon SageMaker JumpStart. Llama Guard provides input and output safeguards in large language model (LLM) deployment. It’s one of the components under Purple Llama, Meta’s initiative featuring open trust and safety tools

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Shared by AWS Machine Learning December 21, 2023

Driving advanced analytics outcomes at scale using Amazon SageMaker powered PwC’s Machine Learning Ops Accelerator

Favorite This post was written in collaboration with Ankur Goyal and Karthikeyan Chokappa from PwC Australia’s Cloud & Digital business. Artificial intelligence (AI) and machine learning (ML) are becoming an integral part of systems and processes, enabling decisions in real time, thereby driving top and bottom-line improvements across organizations. However,

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Shared by AWS Machine Learning December 20, 2023

Accelerating time-to-insight with MongoDB time series collections and Amazon SageMaker Canvas

Favorite This is a guest post co-written with Babu Srinivasan from MongoDB. As industries evolve in today’s fast-paced business landscape, the inability to have real-time forecasts poses significant challenges for industries heavily reliant on accurate and timely insights. The absence of real-time forecasts in various industries presents pressing business challenges

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Shared by AWS Machine Learning December 19, 2023

Improve your Stable Diffusion prompts with Retrieval Augmented Generation

Favorite Text-to-image generation is a rapidly growing field of artificial intelligence with applications in a variety of areas, such as media and entertainment, gaming, ecommerce product visualization, advertising and marketing, architectural design and visualization, artistic creations, and medical imaging. Stable Diffusion is a text-to-image model that empowers you to create

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Shared by AWS Machine Learning December 15, 2023

Automate PDF pre-labeling for Amazon Comprehend

Favorite Amazon Comprehend is a natural-language processing (NLP) service that provides pre-trained and custom APIs to derive insights from textual data. Amazon Comprehend customers can train custom named entity recognition (NER) models to extract entities of interest, such as location, person name, and date, that are unique to their business.

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Shared by AWS Machine Learning December 15, 2023

How AWS Prototyping enabled ICL-Group to build computer vision models on Amazon SageMaker

Favorite This is a customer post jointly authored by ICL and AWS employees. ICL is a multi-national manufacturing and mining corporation based in Israel that manufactures products based on unique minerals and fulfills humanity’s essential needs, primarily in three markets: agriculture, food, and engineered materials. Their mining sites use industrial

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Shared by AWS Machine Learning December 15, 2023