Google’s comments on the U.S. AI Action Plan
Google shares policy recommendations in response to OSTP’s request for information for the U.S. AI Action Plan.
How GoDaddy built a category generation system at scale with batch inference for Amazon Bedrock
This post was co-written with Vishal Singh, Data Engineering Leader at Data & Analytics team of GoDaddy Generative AI solutions have the potential to transform businesses by boosting productivity and improving customer experiences, and using large language models (LLMs) in these solutions has become increasingly popular. However, inference of LLMs as single model invocations or …
Benchmarking customized models on Amazon Bedrock using LLMPerf and LiteLLM
Open foundation models (FMs) allow organizations to build customized AI applications by fine-tuning for their specific domains or tasks, while retaining control over costs and deployments. However, deployment can be a significant portion of the effort, often requiring 30% of project time because engineers must carefully optimize instance types and configure serving parameters through careful …
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Creating asynchronous AI agents with Amazon Bedrock
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 …
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How to run Qwen 2.5 on AWS AI chips using Hugging Face libraries
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 …
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Revolutionizing customer service: MaestroQA’s integration with Amazon Bedrock for actionable insight
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 …
Optimize hosting DeepSeek-R1 distilled models with Hugging Face TGI on Amazon SageMaker AI
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 …
Exploring creative possibilities: A visual guide to Amazon Nova Canvas
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, …
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Microsoft Cost Management updates—March 2025
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, …
Announcing the Responses API and Computer-Using Agent in Azure AI Foundry
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 …
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