Artificial Intelligence

Auto Added by WPeMatico

Vxceed secures transport operations with Amazon Bedrock

Amazon Bedrock, Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, Amazon Machine Learning, Artificial Intelligence, Customer Solutions /

Vxceed delivers SaaS solutions across industries such as consumer packaged goods (CPG), transportation, and logistics. Its modular environments include Lighthouse for CPG demand and supply chains, GroundCentric247 for airline and airport operations, and LimoConnect247 and FleetConnect247 for passenger transport. These solutions support a wide range of customers, including government agencies in Australia and New Zealand. […]

Vxceed secures transport operations with Amazon Bedrock Read More »

Customize DeepSeek-R1 671b model using Amazon SageMaker HyperPod recipes – Part 2

Amazon SageMaker, Amazon SageMaker HyperPod, Artificial Intelligence, Intermediate (200) /

This post is the second part of the DeepSeek series focusing on model customization with Amazon SageMaker HyperPod recipes (or recipes for brevity). In Part 1, we demonstrated the performance and ease of fine-tuning DeepSeek-R1 distilled models using these recipes. In this post, we use the recipes to fine-tune the original DeepSeek-R1 671b parameter model.

Customize DeepSeek-R1 671b model using Amazon SageMaker HyperPod recipes – Part 2 Read More »

Extend large language models powered by Amazon SageMaker AI using Model Context Protocol

Amazon Machine Learning, Artificial Intelligence, Generative AI, Technical How-to /

Organizations implementing agents and agent-based systems often experience challenges such as implementing multiple tools, function calling, and orchestrating the workflows of the tool calling. An agent uses a function call to invoke an external tool (like an API or database) to perform specific actions or retrieve information it doesn’t possess internally. These tools are integrated

Extend large language models powered by Amazon SageMaker AI using Model Context Protocol Read More »

Insights in implementing production-ready solutions with generative AI

Artificial Intelligence, AWS Well-Architected Framework, Best Practices, Customer Solutions, Experience-Based Acceleration, Generative AI, Thought Leadership /

As generative AI revolutionizes industries, organizations are eager to harness its potential. However, the journey from production-ready solutions to full-scale implementation can present distinct operational and technical considerations. This post explores key insights and lessons learned from AWS customers in Europe, Middle East, and Africa (EMEA) who have successfully navigated this transition, providing a roadmap

Insights in implementing production-ready solutions with generative AI Read More »

Enterprise-grade natural language to SQL generation using LLMs: Balancing accuracy, latency, and scale

Amazon Bedrock, Artificial Intelligence, Generative AI, Technical How-to /

This blog post is co-written with Renuka Kumar and Thomas Matthew from Cisco. Enterprise data by its very nature spans diverse data domains, such as security, finance, product, and HR. Data across these domains is often maintained across disparate data environments (such as Amazon Aurora, Oracle, and Teradata), with each managing hundreds or perhaps thousands

Enterprise-grade natural language to SQL generation using LLMs: Balancing accuracy, latency, and scale Read More »

Build an AI-powered document processing platform with open source NER model and LLM on Amazon SageMaker

AI/ML, Amazon Machine Learning, Amazon SageMaker, Amazon SageMaker AI, Artificial Intelligence, Customer Solutions, Generative AI, Natural Language Processing, Technical How-to /

Archival data in research institutions and national laboratories represents a vast repository of historical knowledge, yet much of it remains inaccessible due to factors like limited metadata and inconsistent labeling. Traditional keyword-based search mechanisms are often insufficient for locating relevant documents efficiently, requiring extensive manual review to extract meaningful insights. To address these challenges, a

Build an AI-powered document processing platform with open source NER model and LLM on Amazon SageMaker Read More »

Protect sensitive data in RAG applications with Amazon Bedrock

Amazon Bedrock, Amazon Bedrock Guardrails, Amazon Bedrock Knowledge Bases, Amazon Machine Learning, Artificial Intelligence, Responsible AI, Security /

Retrieval Augmented Generation (RAG) applications have become increasingly popular due to their ability to enhance generative AI tasks with contextually relevant information. Implementing RAG-based applications requires careful attention to security, particularly when handling sensitive data. The protection of personally identifiable information (PII), protected health information (PHI), and confidential business data is crucial because this information

Protect sensitive data in RAG applications with Amazon Bedrock Read More »

Supercharge your LLM performance with Amazon SageMaker Large Model Inference container v15

Amazon SageMaker, Artificial Intelligence, Launch /

Today, we’re excited to announce the launch of Amazon SageMaker Large Model Inference (LMI) container v15, powered by vLLM 0.8.4 with support for the vLLM V1 engine. This version now supports the latest open-source models, such as Meta’s Llama 4 models Scout and Maverick, Google’s Gemma 3, Alibaba’s Qwen, Mistral AI, DeepSeek-R, and many more.

Supercharge your LLM performance with Amazon SageMaker Large Model Inference container v15 Read More »

Build a FinOps agent using Amazon Bedrock with multi-agent capability and Amazon Nova as the foundation model

Advanced (300), Amazon Bedrock, Amazon Cognito, Amazon Machine Learning, Amazon Nova, Artificial Intelligence, AWS Amplify, AWS Cost Explorer, AWS Lambda, AWS Trusted Advisor /

AI agents are revolutionizing how businesses enhance their operational capabilities and enterprise applications. By enabling natural language interactions, these agents provide customers with a streamlined, personalized experience. Amazon Bedrock Agents uses the capabilities of foundation models (FMs), combining them with APIs and data to process user requests, gather information, and execute specific tasks effectively. The

Build a FinOps agent using Amazon Bedrock with multi-agent capability and Amazon Nova as the foundation model Read More »

Add Zoom as a data accessor to your Amazon Q index

Amazon Q, Amazon Q Business, Artificial Intelligence, Customer Solutions, Enterprise Strategy, Generative AI /

For many organizations, vast amounts of enterprise knowledge are scattered across diverse data sources and applications. Organizations across industries seek to use this cross-application enterprise data from within their preferred systems while adhering to their established security and governance standards. This post demonstrates how Zoom users can access their Amazon Q Business enterprise data directly

Add Zoom as a data accessor to your Amazon Q index Read More »