InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Navigating LLM Deployment: Tips, Tricks, and Techniques
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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Improving Developer Experience Using Automated Data CI/CD Pipelines
Noémi Ványi and Simona Pencea discuss a code and data branching strategy that basically allows your data to follow your code.
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Launching AI Agents across Europe at Breakneck Speed with an Agent Computing Platform
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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The Latest in the World of Web Engineering (Featuring AI)
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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Manipulating the Machine: Prompt Injections and Countermeasures
Georg Dresler discusses various methods to perform prompt injection to extract system prompts and documents used by GPTs, and ways to integrate countermeasures to protect against stealing information.
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Poetry4Shellz – Avoiding Limerick Based Exploitation and Safely Using AI in Your Apps
Rich Smith provides a case study of a real world LLM based app that is vulnerable to a variety of attack vectors that illustrate the challenges to account for when integrating today's LLM technologies
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1BRC–Nerd Sniping the Java Community
Gunnar Morling discusses some of the tricks employed by the fastest solutions for processing a 13 GB input file within less than two seconds through parallelization and efficient memory access.
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Mind Your Language Models: an Approach to Architecting Intelligent Systems
Nischal HP discusses the intricacies of designing and implementing intelligent systems powered by LLMs, drawing upon practical insights gained from real-world deployments.
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AI Integration for Java: to the Future, from the Past
The panelists discuss workflows, staff impact, and utilizing different tools, frameworks, and services to integrate AI in Java applications.
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Architecting for Data Products
Danilo Sato discusses what constitutes a data product and different types of data products, how data products support data architecture at different levels, skills and team topologies needed.
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What Can You Learn from the Fastest Code in the World?
Alan Elder explores the extremes one can go to in order to push the boundaries of code performance and efficiency to perform complex processing on millions of packets per second.
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Applying AI to the SDLC: New Ideas and Gotchas! - Leveraging AI to Improve Software Engineering
Tracy Bannon discusses using Generative AI in software engineering with AI-assistance to meet the speed and quality of end-users demand.
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