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, […]
Benchmarking Amazon Nova and GPT-4o models with FloTorch
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 […]
Deploy DeepSeek-R1 distilled models on Amazon SageMaker using a Large Model Inference container
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, […]
From fridge to table: Use Amazon Rekognition and Amazon Bedrock to generate recipes and combat food waste
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 […]
Transforming financial analysis with CreditAI on Amazon Bedrock: Octus’s journey with AWS
Investment professionals face the mounting challenge of processing vast amounts of data to make timely, informed decisions. The traditional approach of manually sifting through countless research documents, industry reports, and financial statements is not only time-consuming but can also lead to missed opportunities and incomplete analysis. This challenge is particularly acute in credit markets, where […]
Optimize reasoning models like DeepSeek with prompt optimization on Amazon Bedrock
DeepSeek-R1 models, now available on Amazon Bedrock Marketplace, Amazon SageMaker JumpStart, as well as a serverless model on Amazon Bedrock, were recently popularized by their long and elaborate thinking style, which, according to DeepSeek’s published results, lead to impressive performance on highly challenging math benchmarks like AIME-2024 and MATH-500, as well as competitive performance compared […]
Amazon Bedrock announces general availability of multi-agent collaboration
Today, we’re announcing the general availability (GA) of multi-agent collaboration on Amazon Bedrock. This capability allows developers to build, deploy, and manage networks of AI agents that work together to execute complex, multi-step workflows efficiently. Since its preview launch at re:Invent 2024, organizations across industries—including financial services, healthcare, supply chain and logistics, manufacturing, and customer […]
Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion
This post is co-authored with Sundeep Sardana, Malolan Raman, Joseph Lam, Maitri Shah and Vaibhav Singh from Verisk. Verisk (Nasdaq: VRSK) is a leading strategic data analytics and technology partner to the global insurance industry, empowering clients to strengthen operating efficiency, improve underwriting and claims outcomes, combat fraud, and make informed decisions about global risks. […]