InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Google Releases Open-Source Agent Development Kit for Multi-Agent AI Applications
At Google Cloud Next 2025, Google announced the Agent Development Kit (ADK), an open-source framework aimed at simplifying the development of intelligent, multi-agent applications. The toolkit is designed to support developers across the entire lifecycle of agentic systems — from logic design and orchestration to debugging, evaluation, and deployment.
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Datadog Employs LLMs for Assisting with Writing Accident Postmortems
Datadog combined structured metadata from its incident management app with Slack messages to create an LLM-driven functionality assisting engineers in composing incident postmortems. While working on this solution, the company dealt with the challenges of using LLMs outside of the interactive dialog systems and ensuring that high-quality content was produced.
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Anthropic's "AI Microscope" Explores the Inner Workings of Large Language Models
Two recent papers from Anthropic attempt to shed light on the processes that take place within a large language model, exploring how to locate interpretable concepts and link them to the computational "circuits" that translate them into language, and how to characterize crucial behaviors of Claude Haiku 3.5, including hallucinations, planning, and other key traits.
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Claude for Education: Anthropic’s AI Assistant Goes to University
Anthropic has announced the launch of Claude for Education, a specialized version of its AI assistant, Claude, developed specifically for colleges and universities. The initiative aims to support students, faculty, and administrators with secure and responsible AI integration across academics and campus operations.
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PlanetScale Vectors Now GA: MySQL's Missing Feature?
PlanetScale has recently announced that vector support is now generally available. Created as a fork of MySQL, this new feature allows storing vector data alongside an application's relational MySQL data, removing the need for a separate specialized vector database.
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QCon London 2025: Achieving AI Precision through Intelligent Data Retrieval
Adi Polak, a Confluent expert, addressed AI precision challenges at QCOn London 2025, introducing agentic RAG to enhance data retrieval accuracy. With insights on the limitations of current systems and actionable strategies for implementation, Polak emphasized precision as a crucial factor in operationalizing AI, building trust, and improving business outcomes.
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Radical AI Releases TorchSim: a PyTorch-Native Engine for Next-Generation Atomistic Simulations
Radical AI has announced the release of TorchSim, a next-generation atomistic simulation engine built natively in PyTorch and designed for the MLIP (machine-learned interatomic potentials) era.
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Optimize AI Workloads: Google Cloud’s Tips and Tricks
Google Cloud has announced a suite of new tools and features designed to help organizations reduce costs and improve efficiency of AI workloads across their cloud infrastructure. The announcement comes as enterprises increasingly seek ways to optimize spending on AI initiatives while maintaining performance and scalability.
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AMD’s Gaia Framework Brings Local LLM Inference to Consumer Hardware
AMD has released Gaia, an open-source project allowing developers to run large language models (LLMs) locally on Windows machines with AMD hardware acceleration. The framework supports retrieval-augmented generation (RAG) and includes tools for indexing local data sources. Gaia is designed to offer an alternative to LLMs hosted on a cloud service provider (CSP).
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Meta AI Releases Llama 4: Early Impressions and Community Feedback
Meta has officially released the first models in its new Llama 4 family—Scout and Maverick—marking a step forward in its open-weight large language model ecosystem. Designed with a native multimodal architecture and a mixture-of-experts (MoE) framework, these models aim to support a broader range of applications, from image understanding to long-context reasoning.
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Announcing QCon AI: Focusing on Practical, Scalable AI Implementation for Engineering Teams
QCon AI focuses on practical, real-world AI for senior developers, architects, and engineering leaders. Join us Dec 16-17, 2025, in NYC to learn how teams are building and scaling AI in production—covering MLOps, system reliability, cost optimization, and more. No hype, just actionable insights from those doing the work.
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Recap of Cloudflare Security Week 2025: From Quantum Cryptography to AI Labyrinth
During the recent Cloudflare Security Week 2025, the cloud provider announced various improvements to its cybersecurity services and multiple reports analyzing trends and challenges in security threats. Additionally, they announced AI Labyrinth, a new version of honeypots against unauthorized crawlers, and Cloudflare for AI, a suite of tools aimed at helping the adoption of secure AI technologies.
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How Observability Can Improve the UX of LLM Based Systems: Insights of Honeycomb's CEO at KubeCon EU
During her KubeCon Europe keynote, Christine Yen, CEO and co-founder of Honeycomb, provided insights on how observability can help cope with the rapid shifts introduced by the integration of LLMs in software systems, which transformed not only the way we develop software but also the release methodology. She explained how to adapt your development feedback loop based on production observations.
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Amazon Unveils Nova Act SDK and Expands Access to Advanced AI Models
Amazon has announced an expansion of its generative AI capabilities with the introduction of nova.amazon.com, a platform designed to give developers easier access to its foundation models. This includes the newly unveiled Amazon Nova Act, an AI model specifically trained to execute actions within web browsers.
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GitLab Introduces GitLab Duo with Amazon Q
The integration of Amazon Q Developer with GitLab, introduced as GitLab Duo with Amazon Q, embeds generative AI capabilities directly into GitLab, enabling developers to receive AI-driven assistance for tasks such as feature development, code upgrades, reviews, and unit testing.