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#intermediate

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LLMs
Enhance Geospatial Analysis and GIS Workflows with Amazon Bedrock Capabilities Applying emerging technologies to the geospatial domain offers a unique opportunity to create transformative user expe...

#Amazon #Bedrock #Artificial #Intelligence #Intermediate #(200)

Origin | Interest | Match
Amazon Web Services · Enhance Geospatial Analysis and GIS Workflows with Amazon Bedrock Capabilities | Amazon Web ServicesApplying emerging technologies to the geospatial domain offers a unique opportunity to create transformative user experiences and intuitive workstreams for users and organizations to deliver on their missions and responsibilities. In this post, we explore how you can integrate existing systems with Amazon Bedrock to create new workflows to unlock efficiencies insights. This integration can benefit technical, nontechnical, and leadership roles alike.
Kubernetes
Building a RAG chat-based assistant on Amazon EKS Auto Mode and NVIDIA NIMs In this post, we demonstrate the implementation of a practical RAG chat-based assistant using a comprehensive stack of mo...

#Amazon #Elastic #Kubernetes #Service #Amazon #OpenSearch #Service #Intermediate #(200) #Technical #How-to

Origin | Interest | Match
Amazon Web Services · Building a RAG chat-based assistant on Amazon EKS Auto Mode and NVIDIA NIMs | Amazon Web ServicesIn this post, we demonstrate the implementation of a practical RAG chat-based assistant using a comprehensive stack of modern technologies. The solution uses NVIDIA NIMs for both LLM inference and text embedding services, with the NIM Operator handling their deployment and management. The architecture incorporates Amazon OpenSearch Serverless to store and query high-dimensional vector embeddings for similarity search.
#howto
LLMs
Demystifying Amazon Bedrock Pricing for a Chatbot Assistant In this post, we'll look at Amazon Bedrock pricing through the lens of a practical, real-world example: building a customer service c...

#Amazon #Bedrock #Cloud #Cost #Optimization #Foundational #(100) #Generative #AI #Intermediate #(200)

Origin | Interest | Match
Amazon Web Services · Demystifying Amazon Bedrock Pricing for a Chatbot Assistant | Amazon Web ServicesIn this post, we'll look at Amazon Bedrock pricing through the lens of a practical, real-world example: building a customer service chatbot. We'll break down the essential cost components, walk through capacity planning for a mid-sized call center implementation, and provide detailed pricing calculations across different foundation models.
LLMs
Discover insights from Microsoft Exchange with the Microsoft Exchange connector for Amazon Q Business Amazon Q Business is a fully managed, generative AI-powered assistant that helps enterprises un...

#Amazon #Q #Business #Generative #AI #Intermediate #(200) #Technical #How-to

Origin | Interest | Match
Amazon Web Services · Discover insights from Microsoft Exchange with the Microsoft Exchange connector for Amazon Q Business | Amazon Web ServicesAmazon Q Business is a fully managed, generative AI-powered assistant that helps enterprises unlock the value of their data and knowledge. With Amazon Q Business, you can quickly find answers to questions, generate summaries and content, and complete tasks by using the information and expertise stored across your company’s various data sources and enterprise systems. […]
#howto
SearchEngine
Create an OpenSearch dashboard with Amazon OpenSearch Service This post demonstrates how to harness OpenSearch Dashboards to analyze logs visually and interactively. With this solution, IT administ...

#Amazon #OpenSearch #Service #Analytics #Architecture #Intermediate #(200) #Technical #How-to #Amazon #OpenSearch

Origin | Interest | Match
Amazon Web Services · Create an OpenSearch dashboard with Amazon OpenSearch Service | Amazon Web ServicesThis post demonstrates how to harness OpenSearch Dashboards to analyze logs visually and interactively. With this solution, IT administrators, developers, and DevOps engineers can create custom dashboards to monitor system behavior, detect anomalies early, and troubleshoot issues faster through interactive charts and graphs.
#howto
PostgreSQL
AI agents unifying structured and unstructured data: Transforming support analytics and beyond with Amazon Q Plugins Learn how to enhance Amazon Q with custom plugins to combine semantic search cap...

#Amazon #Q #Amazon #Q #Business #Intermediate #(200) #Generative #AI

Origin | Interest | Match
Amazon Web Services · AI agents unifying structured and unstructured data: Transforming support analytics and beyond with Amazon Q Plugins | Amazon Web ServicesLearn how to enhance Amazon Q with custom plugins to combine semantic search capabilities with precise analytics for AWS Support data. This solution enables more accurate answers to analytical questions by integrating structured data querying with RAG architecture, allowing teams to transform raw support cases and health events into actionable insights. Discover how this enhanced architecture delivers exact numerical analysis while maintaining natural language interactions for improved operational decision-making.
Kubernetes
Fine-tune and deploy Meta Llama 3.2 Vision for generative AI-powered web automation using AWS DLCs, Amazon EKS, and Amazon Bedrock In this post, we present a complete solution for fine-tuning and d...

#Amazon #Bedrock #Amazon #Elastic #Kubernetes #Service #Artificial #Intelligence #Generative #AI #Intermediate

Origin | Interest | Match
Amazon Web Services · Fine-tune and deploy Meta Llama 3.2 Vision for generative AI-powered web automation using AWS DLCs, Amazon EKS, and Amazon Bedrock | Amazon Web ServicesIn this post, we present a complete solution for fine-tuning and deploying the Llama-3.2-11B-Vision-Instruct model for web automation tasks. We demonstrate how to build a secure, scalable, and efficient infrastructure using AWS Deep Learning Containers (DLCs) on Amazon Elastic Kubernetes Service (Amazon EKS).
SearchEngine
Building a Semantic Search Engine using Weaviate The way we search and relate to data is changing. Instead of returning results that contain “cozy” and “nook,” you can search for “cozy re...

#Intermediate #RAG #Vector #Database

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Analytics Vidhya · Building a Semantic Search Engine using WeaviateGo beyond keyword matching. Learn to implement powerful semantic search with Weaviate, the AI-native vector database.
Geriatric Gardener

“#MI6 #Embedded With #Syria's #AlQaeda Government”

by Kit Klarenberg in Global Delinquents on Substack

“If #Starmer’s unelected security chief is [..] scripting foreign policy thru #InterMediate, then Britain is no longer merely meddling in West Asia but is also governing it by proxy. & if #Powell’s loyal Al-Qaeda client in #Damascus is the new face of ‘liberal interventionism,’ it is clear the #colonial playbook has not simply returned – it in fact never left”

open.substack.com/pub/kitklare

Global Delinquents · MI6 Embedded With Syria's Al Qaeda GovernmentBy Kit Klarenberg
#Press
cloud-native
New whitepaper available: AICPA SOC 2 Compliance Guide on AWS We’re excited to announce the release of our latest whitepaper, AICPA SOC 2 Compliance Guide on AWS, which provides in-depth guidance...

#Announcements #Compliance #Intermediate #(200) #Security, #Identity, #& #Compliance #AWS #Compliance #Security

Origin | Interest | Match
Amazon Web Services · New whitepaper available: AICPA SOC 2 Compliance Guide on AWS | Amazon Web ServicesWe’re excited to announce the release of our latest whitepaper, AICPA SOC 2 Compliance Guide on AWS, which provides in-depth guidance on implementing and maintaining SOC 2-aligned controls using AWS services. Building and operating cloud-native services in alignment with the AICPA’s Trust Services Criteria requires thoughtful planning and robust implementation. This new whitepaper helps cloud architects, […]
#identity
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