Advanced fine-tuning techniques for multi-agent orchestration: Patterns from Amazon at scale
TutoSartup excerpt from this article:
While many use cases can be effectively addressed through prompt engineering, Retrieval Augmented Generation (RAG) systems, and turn key agent deployment,, our work with Amazon and large enterprise accounts reveals a consistent pattern: One in four high-stakes applications—where patient safety, operational efficiency, or customer trust are on the line—demand advanced fine-tuning and post-trai...
While many use cases can be effectively addressed through prompt engineering, Retrieval Augmented Generation (RAG) systems, and turn key agent deployment,, our work with Amazon and large enterprise accounts reveals a consistent pattern: One in four high-stakes applications—where patient safety, operational efficiency, or customer trust are on the line—demand advanced fine-tuning and post-trai...
How Palo Alto Networks enhanced device security infra log analysis with Amazon Bedrock
TutoSartup excerpt from this article:
In this post, we explore how to build a scalable and cost-effective log analysis system using Amazon Bedrock to transform reactive log monitoring into proactive issue detection... Solution overview Palo Alto Networks’ automated log classification system helps their Device Security team detect and respond to potential service failures ahead of time... The system uses Amazon Bedrock with Anth...
In this post, we explore how to build a scalable and cost-effective log analysis system using Amazon Bedrock to transform reactive log monitoring into proactive issue detection... Solution overview Palo Alto Networks’ automated log classification system helps their Device Security team detect and respond to potential service failures ahead of time... The system uses Amazon Bedrock with Anth...
From beginner to champion: A student’s journey through the AWS AI League ASEAN finals
TutoSartup excerpt from this article:
Rather than attempting exhaustive experiments, I focused my efforts on curating a strong dataset and tweaking select hyperparameters... This meant a strong showing with the evaluator LLM didn’t guarantee high scores from the humans, and vice versa... I started strong... He is passionate about data science, AI for social good, and civic technology, with a strong focus on solving real-world probl...
Rather than attempting exhaustive experiments, I focused my efforts on curating a strong dataset and tweaking select hyperparameters... This meant a strong showing with the evaluator LLM didn’t guarantee high scores from the humans, and vice versa... I started strong... He is passionate about data science, AI for social good, and civic technology, with a strong focus on solving real-world probl...
Are The Stars Aligning For A New Bull Run In Homebuilder Stocks?
TutoSartup excerpt from this article:
A long-running under-investment in home building has created a housing shortage at a time of a demographic-drive rise in demand...Softer borrowing costs should be a net plus at a time when, according to a recent Goldman Sachs estimate: “At least 3-4 million additional homes beyond normal construction need to be built to address the shortage in US housing supply and boost affordability...”...
A long-running under-investment in home building has created a housing shortage at a time of a demographic-drive rise in demand...Softer borrowing costs should be a net plus at a time when, according to a recent Goldman Sachs estimate: “At least 3-4 million additional homes beyond normal construction need to be built to address the shortage in US housing supply and boost affordability...”...
Amazon EC2 X8i instances powered by custom Intel Xeon 6 processors are generally available for memory-intensive workloads
TutoSartup excerpt from this article:
X8i instances X8i instances are available in 14 sizes including three larger instance sizes (48xlarge, 64xlarge, and 96xlarge), so you can choose the right size for your application to scale up, and two bare metal sizes (metal-48xl and metal-96xl) to deploy workloads that benefit from direct access to physical resources...Since a preview launch at AWS re:Invent 2025, we’re announcing the gener...
X8i instances X8i instances are available in 14 sizes including three larger instance sizes (48xlarge, 64xlarge, and 96xlarge), so you can choose the right size for your application to scale up, and two bare metal sizes (metal-48xl and metal-96xl) to deploy workloads that benefit from direct access to physical resources...Since a preview launch at AWS re:Invent 2025, we’re announcing the gener...
Chart your AI and agent strategy with Microsoft Marketplace
TutoSartup excerpt from this article:
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microsoft...microsoft...com/is/content/microsoftcorp/849800-HowtodeployamodelthroughMicrosoftFoundry-0x1080-6439k","type":"video/mp4","quality":"HQ"},{"src":"https://cdn-dynmedia-1...microsoft...com/is/content/microsoftcorp/849800-HowtodeployamodelthroughMicrosoftFoundry-0x720-3266k","type":"video/mp4","quality":"HD"},{"src":"https://cdn-dynmedia-1...microsoft...com/is/content/mic...
How the Amazon AMET Payments team accelerates test case generation with Strands Agents
TutoSartup excerpt from this article:
To improve this manual process, we developed SAARAM (QA Lifecycle App), a multi-agent AI solution that helps reduce test case generation from 1 week to hours... In this post, we explain how we overcame the limitations of single-agent AI systems through a human-centric approach, implemented structured outputs to significantly reduce hallucinations and built a scalable solution now positioned for...
To improve this manual process, we developed SAARAM (QA Lifecycle App), a multi-agent AI solution that helps reduce test case generation from 1 week to hours... In this post, we explain how we overcame the limitations of single-agent AI systems through a human-centric approach, implemented structured outputs to significantly reduce hallucinations and built a scalable solution now positioned for...