AWS Week in Review – AWS Wickr, Amazon Redshift, Generative AI, and More – May 29, 2023
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In addition, we just finished all of the in-person AWS Summits in Asia-Pacific and Japan starting from AWS Summit Sydney and AWS Summit Tokyo in April to AWS Summit ASEAN, AWS Summit Seoul, and AWS Summit Mumbai in May... Thank you to everyone who attended our AWS Summits in APJ, especially the AWS Heroes, AWS Community Builders, and AWS User Group leaders, for your collaboration in supporting...
In addition, we just finished all of the in-person AWS Summits in Asia-Pacific and Japan starting from AWS Summit Sydney and AWS Summit Tokyo in April to AWS Summit ASEAN, AWS Summit Seoul, and AWS Summit Mumbai in May... Thank you to everyone who attended our AWS Summits in APJ, especially the AWS Heroes, AWS Community Builders, and AWS User Group leaders, for your collaboration in supporting...
Create high-quality images with Stable Diffusion models and deploy them cost-efficiently with Amazon SageMaker
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Text-to-image generation is a task in which a machine learning (ML) model generates an image from a textual description... The goal is to generate an image that closely matches the description, capturing the details and nuances of the text... This task is challenging because it requires the model to understand the semantics and syntax of the text and to generate photorealistic images... There are ...
Text-to-image generation is a task in which a machine learning (ML) model generates an image from a textual description... The goal is to generate an image that closely matches the description, capturing the details and nuances of the text... This task is challenging because it requires the model to understand the semantics and syntax of the text and to generate photorealistic images... There are ...
Author Spotlight: Vittorio Denti, Machine Learning Engineer at Amazon
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During my master’s, I spent one year in Stockholm, at the KTH Royal Institute of Technology, where I studied machine learning and deep learning... At AWS, I was able to grow from a technical standpoint by learning new technologies and architectural patterns for distributed systems... I had the opportunity to support customers in designing their machine learning architectures for model training...
During my master’s, I spent one year in Stockholm, at the KTH Royal Institute of Technology, where I studied machine learning and deep learning... At AWS, I was able to grow from a technical standpoint by learning new technologies and architectural patterns for distributed systems... I had the opportunity to support customers in designing their machine learning architectures for model training...
Exclude cipher suites at the API gateway using a Network Load Balancer security policy
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The solution uses virtual private cloud (VPC) endpoints (powered by AWS PrivateLink) and ELB policies... This API gateway domain aliases to the Network Load Balancer endpoint... In the next interaction, the user makes an HTTPS request to the domain endpoint with a TLS/cipher combination from the client side... Step 1: Create a VPC endpoint The first step is to create a private VPC endpoint for ...
The solution uses virtual private cloud (VPC) endpoints (powered by AWS PrivateLink) and ELB policies... This API gateway domain aliases to the Network Load Balancer endpoint... In the next interaction, the user makes an HTTPS request to the domain endpoint with a TLS/cipher combination from the client side... Step 1: Create a VPC endpoint The first step is to create a private VPC endpoint for ...
Build a powerful question answering bot with Amazon SageMaker, Amazon OpenSearch Service, Streamlit, and LangChain
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https://your-opensearch-domain-endpoint/llm_apps_workshop_embeddings/_count The browser window should show an output similar to the following... Run the following commands on the terminal to clone the code repository for this post and install the Python packages needed by the application: git clone https://github... For example, if your Studio URL is https://d-randomiden...
https://your-opensearch-domain-endpoint/llm_apps_workshop_embeddings/_count The browser window should show an output similar to the following... Run the following commands on the terminal to clone the code repository for this post and install the Python packages needed by the application: git clone https://github... For example, if your Studio URL is https://d-randomiden...
Get insights on your user’s search behavior from Amazon Kendra using an ML-powered serverless stack
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Amazon Kendra is a highly accurate and intelligent search service that enables users to search unstructured and structured data using natural language processing (NLP) and advanced search algorithms... With Amazon Kendra, you can find relevant answers to your questions quickly, without sifting through documents... Although the Amazon Kendra console comes equipped with an analytics dashboard, many...
Amazon Kendra is a highly accurate and intelligent search service that enables users to search unstructured and structured data using natural language processing (NLP) and advanced search algorithms... With Amazon Kendra, you can find relevant answers to your questions quickly, without sifting through documents... Although the Amazon Kendra console comes equipped with an analytics dashboard, many...
How OCX Cognition reduced ML model development time from weeks to days and model update time from days to real time using AWS Step Functions and Amazon SageMaker
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Using AWS Step Functions, the AWS Step Functions Data Science SDK for Python, and Amazon SageMaker Experiments, OCX Cognition reduced ML model development time from 6 weeks to 2 weeks and reduced ML model update time from 4 days to near-real time... Background The Spectrum AI platform has to produce models tuned for hundreds of different generative CX scores for each customer, and these scores ...
Using AWS Step Functions, the AWS Step Functions Data Science SDK for Python, and Amazon SageMaker Experiments, OCX Cognition reduced ML model development time from 6 weeks to 2 weeks and reduced ML model update time from 4 days to near-real time... Background The Spectrum AI platform has to produce models tuned for hundreds of different generative CX scores for each customer, and these scores ...