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Authenticate Amazon Q Business data accessors using a trusted token issuer Takeshi Kobayashi Artificial Intelligence

​[[{“value”:” Since its general availability in 2024, Amazon Q Business (Amazon Q) has enabled independent software vendors (ISVs) to enhance their Software as a Service (SaaS) solutions through secure access to customers’ enterprise data by becoming Amazon Q Business data accessor. To find out more… Read More »Authenticate Amazon Q Business data accessors using a trusted token issuer Takeshi Kobayashi Artificial Intelligence

Unlocking the future of professional services: How Proofpoint uses Amazon Q Business Stephen Coverdale, Alessandra Filice Artificial Intelligence

​[[{“value”:” This post was written with Stephen Coverdale and Alessandra Filice of Proofpoint. At the forefront of cybersecurity innovation, Proofpoint has redefined its professional services by integrating Amazon Q Business, a fully managed, generative AI powered assistant that you can configure to answer questions, provide… Read More »Unlocking the future of professional services: How Proofpoint uses Amazon Q Business Stephen Coverdale, Alessandra Filice Artificial Intelligence

Enhancing LLM accuracy with Coveo Passage Retrieval on Amazon Bedrock Yanick Houngbedji Artificial Intelligence

​[[{“value”:” This post is co-written with Keith Beaudoin and Nicolas Bordeleau from Coveo. As generative AI transforms business operations, enterprises face a critical challenge: how can they help large language models (LLMs) provide accurate and trustworthy responses? Without reliable data foundations, these AI models can… Read More »Enhancing LLM accuracy with Coveo Passage Retrieval on Amazon Bedrock Yanick Houngbedji Artificial Intelligence

10 Python One-Liners Every Machine Learning Practitioner Should Know Iván Palomares Carrascosa MachineLearningMastery.com

​Developing machine learning systems entails a well-established lifecycle, consisting of a series of stages from data preparation and preprocessing to modeling, validation, deployment to production, and continuous maintenance. Developing machine learning systems entails a well-established lifecycle, consisting of a series of stages from data preparation and… Read More »10 Python One-Liners Every Machine Learning Practitioner Should Know Iván Palomares Carrascosa MachineLearningMastery.com

Tencent Hunyuan Open-Sources Hunyuan-MT-7B and Hunyuan-MT-Chimera-7B: A State-of-the-Art Multilingual Translation Models Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Introduction Tencent’s Hunyuan team has released Hunyuan-MT-7B (a translation model) and Hunyuan-MT-Chimera-7B (an ensemble model). Both models are designed specifically for multilingual machine translation and were introduced in conjunction with Tencent’s participation in the WMT2025 General Machine Translation shared task, where Hunyuan-MT-7B ranked first… Read More »Tencent Hunyuan Open-Sources Hunyuan-MT-7B and Hunyuan-MT-Chimera-7B: A State-of-the-Art Multilingual Translation Models Asif Razzaq Artificial Intelligence Category – MarkTechPost

Train and deploy models on Amazon SageMaker HyperPod using the new HyperPod CLI and SDK Giuseppe Angelo Porcelli Artificial Intelligence

​[[{“value”:” Training and deploying large AI models requires advanced distributed computing capabilities, but managing these distributed systems shouldn’t be complex for data scientists and machine learning (ML) practitioners. The newly released command line interface (CLI) and software development kit (SDK) for Amazon SageMaker HyperPod simplify… Read More »Train and deploy models on Amazon SageMaker HyperPod using the new HyperPod CLI and SDK Giuseppe Angelo Porcelli Artificial Intelligence

Google AI Introduces Stax: A Practical AI Tool for Evaluating Large Language Models LLMs Maxime Mommessin Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Evaluating large language models (LLMs) is not straightforward. Unlike traditional software testing, LLMs are probabilistic systems. This means they can generate different responses to identical prompts, which complicates testing for reproducibility and consistency. To address this challenge, Google AI has released Stax, an experimental… Read More »Google AI Introduces Stax: A Practical AI Tool for Evaluating Large Language Models LLMs Maxime Mommessin Artificial Intelligence Category – MarkTechPost

Build a serverless Amazon Bedrock batch job orchestration workflow using AWS Step Functions Swagat Kulkarni Artificial Intelligence

​[[{“value”:” As organizations increasingly adopt foundation models (FMs) for their artificial intelligence and machine learning (AI/ML) workloads, managing large-scale inference operations efficiently becomes crucial. Amazon Bedrock supports two general types of large-scale inference patterns: real-time inference and batch inference for use cases that involve processing… Read More »Build a serverless Amazon Bedrock batch job orchestration workflow using AWS Step Functions Swagat Kulkarni Artificial Intelligence

Natural language-based database analytics with Amazon Nova Rahul Ghosh Artificial Intelligence

​[[{“value”:” In this post, we explore how natural language database analytics can revolutionize the way organizations interact with their structured data through the power of large language model (LLM) agents. Natural language interfaces to databases have long been a goal in data management. Agents enhance… Read More »Natural language-based database analytics with Amazon Nova Rahul Ghosh Artificial Intelligence

Deploy Amazon Bedrock Knowledge Bases using Terraform for RAG-based generative AI applications Andrew Ang Artificial Intelligence

​[[{“value”:” Retrieval Augmented Generation (RAG) is a powerful approach for building generative AI applications by providing foundation models (FMs) access to additional, relevant data. This approach improves response accuracy and transparency while avoiding the potential cost and complexity of FM training or fine-tuning. Many customers… Read More »Deploy Amazon Bedrock Knowledge Bases using Terraform for RAG-based generative AI applications Andrew Ang Artificial Intelligence