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Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock | Amazon Web Services
Generative artificial intelligence (AI) has gained significant momentum with organizations actively exploring its potential applications. As successful proof-of-concepts transition into production, organizations are increasingly...
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Distributed training and efficient scaling with the Amazon SageMaker Model Parallel and Data Parallel Libraries | Amazon Web Services
There has been tremendous progress in the field of distributed deep learning for large language models (LLMs), especially after the release of ChatGPT in...
Improving Content Moderation with Amazon Rekognition Bulk Analysis and Custom Moderation | Amazon Web Services
Amazon Rekognition makes it easy to add image and video analysis to your applications. It’s based on the same proven, highly scalable, deep learning...
Aussie rally continues as services PMI rises – MarketPulse
The Australian dollar continues to power ahead and...
Australian Central Bank Meeting Removes Rate Hike Option – Minutes – MarketPulse
The Reserve Bank of Australia minutes of the...
Australian dollar eyes RBA minutes – MarketPulse
The Australian dollar has started the trading week...
Tailwind Staff Software Engineer
Hi Team!This post is my application for the open Staff Software Engineer position.
A Bit About Me
I'm a software engineer from Omaha, NE (USA) with...
Advanced RAG patterns on Amazon SageMaker | Amazon Web Services
Today, customers of all industries—whether it’s financial services, healthcare and life sciences, travel and hospitality, media and entertainment, telecommunications, software as a service (SaaS),...
Aussie slides after RBA’s pause – MarketPulse
The Australian dollar is sharply lower on Tuesday....
Optimize price-performance of LLM inference on NVIDIA GPUs using the Amazon SageMaker integration with NVIDIA NIM Microservices | Amazon Web Services
NVIDIA NIM microservices now integrate with Amazon SageMaker, allowing you to deploy industry-leading large language models (LLMs) and optimize model performance and cost. You...
Transform one-on-one customer interactions: Build speech-capable order processing agents with AWS and generative AI | Amazon Web Services
In today’s landscape of one-on-one customer interactions for placing orders, the prevailing practice continues to rely on human attendants, even in settings like drive-thru...
Gemma is now available in Amazon SageMaker JumpStart | Amazon Web Services
Today, we’re excited to announce that the Gemma model is now available for customers using Amazon SageMaker JumpStart. Gemma is a family of language models based on...
Knowledge Bases for Amazon Bedrock now supports hybrid search | Amazon Web Services
At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With a knowledge base, you can securely connect foundation...
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