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The integration of generative AI agents into business processes is poised to accelerate as organizations recognize the untapped potential of these technologies. Advancements in multimodal artificial intelligence (AI), where agents can understand and generate not just text but also images, audio, and video, will further broaden their applications. This post will discuss agentic AI driven …

Creating asynchronous AI agents with Amazon Bedrock Read More »

The Qwen 2.5 multilingual large language models (LLMs) are a collection of pre-trained and instruction tuned generative models in 0.5B, 1.5B, 3B, 7B, 14B, 32B, and 72B (text in/text out and code out). The Qwen 2.5 fine tuned text-only models are optimized for multilingual dialogue use cases and outperform both previous generations of Qwen models, and …

How to run Qwen 2.5 on AWS AI chips using Hugging Face libraries Read More »

This post is cowritten with Harrison Hunter is the CTO and co-founder of MaestroQA. MaestroQA augments call center operations by empowering the quality assurance (QA) process and customer feedback analysis to increase customer satisfaction and drive operational efficiencies. They assist with operations such as QA reporting, coaching, workflow automations, and root cause analysis. In this …

Revolutionizing customer service: MaestroQA’s integration with Amazon Bedrock for actionable insight Read More »

DeepSeek-R1, developed by AI startup DeepSeek AI, is an advanced large language model (LLM) distinguished by its innovative, multi-stage training process. Instead of relying solely on traditional pre-training and fine-tuning, DeepSeek-R1 integrates reinforcement learning to achieve more refined outputs. The model employs a chain-of-thought (CoT) approach that systematically breaks down complex queries into clear, logical …

Optimize hosting DeepSeek-R1 distilled models with Hugging Face TGI on Amazon SageMaker AI Read More »

Compelling AI-generated images start with well-crafted prompts. In this follow-up to our Amazon Nova Canvas Prompt Engineering Guide, we showcase a curated gallery of visuals generated by Nova Canvas—categorized by real-world use cases—from marketing and product visualization to concept art and design exploration. Each image is paired with the prompt and parameters that generated it, …

Exploring creative possibilities: A visual guide to Amazon Nova Canvas Read More »

In this article Optimizing AKS (Azure Kubernetes Service) costs AWS (Azure Web Services) connector deprecationExchange of Azure OpenAI Service Provisioned ReservationsHelp shape the future of cost reportingDocumentation updatesWhat’s next for Cost Management? Whether you’re a new student, a thriving startup, or the largest enterprise, you have financial constraints, and you need to know what you’re spending, …

Microsoft Cost Management updates—March 2025 Read More »

AI agents are transforming industries by automating workflows, enhancing productivity, and enabling intelligent decision-making. Businesses are leveraging AI agents to process insurance claims, manage IT service desks, optimize supply chain logistics, and even assist healthcare professionals in analyzing medical records. The potential is vast, and we’re excited to introduce two powerful innovations in Azure AI …

Announcing the Responses API and Computer-Using Agent in Azure AI Foundry Read More »

Based on original post by Dr. Hemant Joshi, CTO, FloTorch.ai A recent evaluation conducted by FloTorch compared the performance of Amazon Nova models with OpenAI’s GPT-4o. Amazon Nova is a new generation of state-of-the-art foundation models (FMs) that deliver frontier intelligence and industry-leading price-performance. The Amazon Nova family of models includes Amazon Nova Micro, Amazon …

Benchmarking Amazon Nova and GPT-4o models with FloTorch Read More »

DeepSeek-R1 is a large language model (LLM) developed by DeepSeek AI that uses reinforcement learning to enhance reasoning capabilities through a multi-stage training process from a DeepSeek-V3-Base foundation. A key distinguishing feature is its reinforcement learning step, which was used to refine the model’s responses beyond the standard pre-training and fine-tuning process. By incorporating RL, …

Deploy DeepSeek-R1 distilled models on Amazon SageMaker using a Large Model Inference container Read More »

In today’s fast-paced world, time is of the essence and even basic tasks like grocery shopping can feel rushed and challenging. Despite our best intentions to plan meals and shop accordingly, we often end up ordering takeout; leaving unused perishable items to spoil in the refrigerator. This seemingly small issue of wasted groceries, paired with …

From fridge to table: Use Amazon Rekognition and Amazon Bedrock to generate recipes and combat food waste Read More »