AI, ML, and Data Engineering Round-Up
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In this special newsletter we bring you up to date on all the new content and news related to AI, ML, and Data Engineering on InfoQ. We are also maintaining a portal page for this content on InfoQ at: https://www.infoq.com/ai-ml-data-eng/.
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Amazon Bedrock Introduces Multi-Agent Systems (MAS) with Open Source Framework Integration (news, Jan 23, 2025)
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Google Releases Experimental AI Reasoning Model (news, Jan 21, 2025)
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DeepSeek Open-Sources DeepSeek-V3, a 671B Parameter Mixture of Experts LLM (news, Jan 21, 2025)
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Apache Hudi 1.0 Now Generally Available (news, Jan 18, 2025)
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Major LLMs Have the Capability to Pursue Hidden Goals, Researchers Find (news, Jan 17, 2025)
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This webinar simplifies key AI architecture concepts and offers proven strategies for top use cases. Through practical examples and best practices, you’ll learn how to integrate machine learning models, data pipelines, and cloud services to create robust architectures. Watch Now On-Demand.
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Top Viewed Content on InfoQ
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Microsoft Launches Azure Confidential VMs with NVIDIA Tensor Core GPUs for Enhanced Secure Workloads (news, Oct 23, 2024)
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Anthropic Releases New Claude Models and Computer Use Feature (news, Nov 12, 2024)
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Microsoft Introduces Magentic-One, a Generalist Multi-Agent System (news, Nov 30, 2024)
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Aurora Limitless: AWS Introduces New PostgreSQL Database with Automated Horizontal Scaling (news, Nov 22, 2024)
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Meta Releases NotebookLlama: Open-Source PDF to Podcast Toolkit (news, Nov 17, 2024)
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AWS has introduced Multi-Agent Orchestrator, a framework designed to manage multiple AI agents and handle complex conversational scenarios. The system routes queries to the most suitable agent, maintains context across interactions, and integrates seamlessly with a variety of deployment environments, including AWS Lambda, local setups, and other cloud platforms.
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NVIDIA researchers have introduced LLaMA-Mesh, a groundbreaking approach that extends large language models (LLMs) to generate and interpret 3D mesh data in a unified, text-based framework. LLaMA-Mesh tokenizes 3D meshes as plain text, enabling the seamless integration of spatial and textual information.
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Meta has released Llama 3.3, a multilingual large language model aimed at supporting a range of AI applications in research and industry. Featuring a 128k-token context window and architectural improvements for efficiency, the model demonstrates strong performance in benchmarks for reasoning, coding, and multilingual tasks. It is available under a community license on Hugging Face.
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Discover how Azure empowers generative AI to build intelligent apps. This blog series shows you how to create a marketing app for "Best For You Organics" that generates social posts, blogs, and emails with Azure's scalable, innovative architecture. Read Now.
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Smolagents is a library created at Hugging Face to build agents based on large language models (LLMs). Hugging Faces says its new library aims to be simple and LLM-agnostic. It supports secure "agents that write their actions in code" and is integrated with Hugging Face Hub.
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OpenAI has launched the O3 and O3 Mini models, setting a new standard in AI with enhanced reasoning capabilities. Notable achievements include 71.7% accuracy on SWE-Bench and 96.7% on the AIME benchmark. While these models excel in coding and mathematics, challenges remain. O3 Mini offers scalable options for developers, prioritizing safety and adaptability.
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Architectural Intelligence is the ability to look beyond AI hype and identify real AI components. Determining how, where, and when to use AI elements comes down to traditional trade-off analysis.
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Justin Sheehy urges developers to curb AI hype by setting realistic expectations, verifying claims, prioritizing ethics, and communicating AI limitations transparently to ensure accountability.
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Denys Linkov proposes a framework for building micro metrics to evaluate LLM systems, focusing on user-centric and iterative approaches for measuring performance, reliability, and improvement.
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In this article, author Suruchi Shah dives into how Small Language Models (SLMs) can be used in edge computing for learning and adapting to patterns in real-time, reducing the computational burden.
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Explore the dynamic intersection of responsible AI in FinTech, balancing regulatory compliance and ethical practices, as organizations leverage technology while navigating complex challenges.
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New to Kubernetes? AKS offers a managed solution for scaling distributed apps, simplifying deployment without needing expert skills. Follow this e-book’s tips to deploy non-containerized apps on Kubernetes in minutes, using automated workflows and best practices. Download Now.
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Arun Joseph, Patrick Whelan discuss patterns for productionizing LLM powered applications, AI agents development lifecycle, toolkits, components and building blocks of an AI Agents computing platform.
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Meryem Arik discusses some of the best practices in model optimization, serving and monitoring - with practical tips and real case-studies.
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Vlad Ilyushchenko discusses geographical data distribution, simplifying data pipelines with HA writes, data visualization with SQL extensions, and providing data scientists with scalable data access.
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Tejas Kumar overviews web engineering in relation to AI, AI engineering, Intelligent Answering Engines, an update on CSS, HTML, JavaScript, and personal health and productivity.
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Alana Marzoev discusses the fundamentals of streaming dataflow and the architecture of ReadySet, a streaming dataflow system designed for operational workloads.
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