InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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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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Rethinking Connectivity at the Edge: Scaling Fleets of Low-Powered Devices Using NATS.io
Jeremy Saenz discusses NATS, an open-source project for services communication, and how to leverage NATS to streamline communication and fleet management for devices at the edge.
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Why a Hedge Fund Built Its Own Database
James Munro discusses ArcticDB and the practicalities of building a performant time-series datastore and why transactions, particularly the Isolation in ACID, is just not worth it.
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Incremental Data Processing with Apache Hudi
The presenters discuss an introduction to incremental data processing, contrasting it with the two prevalent processing models of today - batch and stream data processing.
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Chronon - Airbnb’s End-to-End Feature Platform
Nikhil Simha discusses Airbnb's Feature Platform, focusing on the recent efforts to solve the challenges, specifically covering: core APIs, training data generation, feature serving and observability.
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