In this post, we introduce an automated, GitOps-driven approach to resource optimization in Amazon EKS using AWS services such as Amazon Managed Service for Prometheus and Amazon Bedrock. The solution helps optimize Kubernetes resource allocation through metrics-driven analysis, pattern-aware optimization strategies, and automated pull request generation while maintaining GitOps principles of collaboration, version control, and auditability.| Amazon Web Services
こんにちは、OSS よろず相談室の鹿島です。 今回は、DifyとAmazon Bedrockを連携させて、チャットボットとRAG（検索拡張生成）を構築する手順の3回目です。 前回は、Dify環境の構築とAmazon Be ... The post 【実践】Dify + Amazon Bedrockで、ゼロからチャットボットと RAG を作る③ first appeared on SIOS Tech. Lab.| SIOS Tech. Lab
Learn how to vectorize your e-commerce product data using AWS Titan's multimodal model. This practical guide covers generating embeddings for both images and text, and building vector search using cosine and dot product similarity for improved product recommendations| AI Agents That Work Blog
This powerful and cost-effective model outperforms on intelligence benchmarks, with remarkable capabilities in vision, writing, customer support, analytics, and coding to revolutionize your workflows.| Amazon Web Services
Amazon Bedrock AgentCore enables rapid deployment and scaling of AI agents with enterprise-grade security. It provides memory management, identity controls, and tool integration—streamlining development while working with any open-source framework and foundation model.| Amazon Web Services
In this post, you learn how you can use generative AI services on Amazon Web Services (AWS) to automate your sustainability reporting requirements, reduce manual effort, and improve accuracy. You do this by implementing an automated solution for extracting, processing, and validating data from corporate reports.| AWS Architecture Blog
In this post, we explore the Amazon Bedrock baseline architecture and how you can secure and control network access to your various Amazon Bedrock capabilities within AWS network services and tools. We discuss key design considerations, such as using Amazon VPC Lattice auth policies, Amazon Virtual Private Cloud (Amazon VPC) endpoints, and AWS Identity and Access Management (IAM) to restrict and monitor access to your Amazon Bedrock capabilities.| Amazon Web Services
Organizations managing large audio and video archives face significant challenges in extracting value from their media content. Consider a radio network with thousands of broadcast hours across multiple stations and the challenges they face to efficiently verify ad placements, identify interview segments, and analyze programming patterns. In this post, we demonstrate how you can automatically transform unstructured media files into searchable, analyzable content.| Amazon Web Services
In this post, we'll explore how to maximize the value of dashcam footage through best practices for implementing and managing Computer Vision systems in commercial fleet operations. We'll demonstrate how to build and deploy edge-based machine learning models that provide real-time alerts for distracted driving behaviors, while effectively collecting, processing, and analyzing footage to train these AI models.| AWS Architecture Blog
https://hidekazu-konishi.com/entry/amazon_bedrock_models_as_of_2024.html Amazon Bedrock Models as of 2024 - An Analysis of the Comprehensive Model Catalog.| Hidekazu Konishi - Profile / Biography | hidekazu-konishi.com
https://hidekazu-konishi.com/entry/amazon_bedrock_claude_and_textract_ocr_accuracy_evaluation.html Evaluating OCR Accuracy of Claude on Amazon Bedrock and Amazon Textract Using Similarity Metrics.| Hidekazu Konishi - Profile / Biography | hidekazu-konishi.com
Using Claude 3.7 Sonnet Vision Capabilities on Amazon Bedrock to Verify, Regenerate, and Automate Image Generation with Stable Diffusion 3.5 Large.| hidekazu-konishi.com
Using Amazon Bedrock for titling, commenting, and OCR (Optical Character Recognition) with Claude 3.7 Sonnet.| hidekazu-konishi.com
Ready to level up your AI game and step into the future? Find out how Amazon Bedrock’s RAG Evaluation and LLM-as-a-Judge are setting the stage for a new era in artificial intelligence.| Indium
DeepSeek-R1, a powerful large language model featuring reinforcement learning and chain-of-thought capabilities, is now available for deployment via Amazon Bedrock and Amazon SageMaker AI, enabling users to build and scale their generative AI applications with minimal infrastructure investment to meet diverse business needs.| Amazon Web Services
Discover the advanced features of Amazon Bedrock custom models and take your customization to the next level. Click to explore now!| Govindhtech
Fuel business growth with Anthropic’s impactful model, Claude 2.1, now accessible on Amazon Bedrock.| Govindhtech
Validating and Regenerating Videos Using Amazon Nova Pro Vision Model on Amazon Bedrock (Amazon Nova Reel Edition).| hidekazu-konishi.com
Using Amazon Bedrock for titling, commenting, and OCR (Optical Character Recognition) with Amazon Nova Pro.| hidekazu-konishi.com
Using Amazon Nova Pro Vision Capabilities on Amazon Bedrock to Verify, Regenerate, and Automate Image Generation with Amazon Nova Canvas.| hidekazu-konishi.com
Amazon Nova foundation models deliver frontier intelligence and industry leading price-performance, with support for text and multimodal intelligence, multimodal fine-tuning, and high-quality images and videos.| Amazon Web Services
Modern application development has shifted to include not just tooling that offers a great developer experience (DX), but a sensible balance between simply getting started and the path to production. It is this very sentiment that inspired the release of Amplify AI kit. This abstraction over common AI tasks like conversing with a large language […]| Front-End Web & Mobile
With the announcement of the Amplify AI kit, we learned how to build custom UI components, conversation history and add external data to the conversation flow. In this blog post, we will learn how to build a travel planner application using React Native. The application will generate responses using Retrieval Augmented Generation (RAG) and Large […]| Front-End Web & Mobile
When building generative AI applications using Amazon Bedrock, it’s often necessary to enhance the capabilities of the models by giving them access to external data or functionality. The way to do that is with tools (sometimes referred to as function calling). These tools act as bridges, allowing models to retrieve application-specific, real-time or dynamic information […]| Front-End Web & Mobile
Discover the best AI development tools in Amazon Bedrock Studio to accelerate generative AI development. Click to optimize your workflow now!| Govindhtech
Using Claude 3.5 Sonnet Vision Capabilities on Amazon Bedrock to Verify, Regenerate, and Automate Image Generation with Amazon Titan Image Generator G1.| hidekazu-konishi.com
The tri-party solution built using the Denodo Platform, HCLTech’s clinical data management system, and AWS Cloud provides a breakthrough solution, thus enabling a unified approach to the clinical trial data.| Data Management Blog - Data Integration and Modern Data Management Articles, ...
Using Amazon Bedrock to repeatedly generate images with Stable Diffusion XL via Claude 3.5 Sonnet until requirements are met.| hidekazu-konishi.com
Using Amazon Bedrock for titling, commenting, and OCR (Optical Character Recognition) with Claude 3.5 Sonnet.| hidekazu-konishi.com
This post was co-written with Shyam Narayan, a leader in the Accenture AWS Business Group, and Hui Yee Leong, a DevOps and platform engineer, both based in Australia. Hui and Shyam specialize in designing and implementing complex AWS transformation programs across a wide range of industries. Enterprises that operate out of multiple locations such as […]| Amazon Web Services
Using Amazon Bedrock for titling, commenting, and OCR (Optical Character Recognition) with Claude 3 Haiku.| hidekazu-konishi.com
Using Amazon Bedrock for titling, commenting, and OCR (Optical Character Recognition) with Claude 3 Opus.| hidekazu-konishi.com
Using Amazon Bedrock for titling, commenting, and OCR (Optical Character Recognition) with Claude 3 Sonnet.| hidekazu-konishi.com
In September 2023, we announced a strategic collaboration with Anthropic that brought together their respective technology and expertise in safer generative artificial intelligence (AI), to accelerate the development of Anthropic’s Claude foundation models (FMs) and make them widely accessible to AWS customers. You can get early access to unique features of Anthropic’s Claude model in […]| Amazon Web Services
Basic Information about Amazon Bedrock with API Examples - Model Features, Pricing, How to Use, Explanation of Tokens and Inference Parameters.| hidekazu-konishi.com