InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
-
/articles/llm-productivity-experiment/en/smallimage/GettyImages-1081869168-small-1715933929540.jpg)
Experimenting with LLMs for Developer Productivity
This article describes an experiment that sought to determine if no-cost LLM-based code generation tools can improve developer productivity. The experiment evaluated several LLMs by generating unit tests for some open-source code and measuring the code coverage as well as the manual rework necessary to make the tests work.
-
/articles/jakartaee-testing-deep-dive/en/smallimage/Modernizing-Testing-Practices-for-jakarta-EE-Projects-small-1712236207796.jpg)
Modernizing Testing Practices for Jakarta EE Projects
This article focuses on the increasing adoption of data-driven testing in Java enterprise applications and sheds light on the Data and NoSQL Jakarta specifications. It highlights the significance of modern testing libraries such as JUnit Jupiter and AssertJ and emphasizes the importance of container-based frameworks like Testcontainers in enhancing testing practices.
-
/articles/infoq-articles-contest-2024/en/smallimage/small-logo-1706108201373.jpg)
Article Contest: Write an Article for InfoQ and Win a QCon or Dev Summit Ticket
InfoQ encourages software practitioners and domain experts to submit full-length technical educational articles.
-
/articles/natural-language-interface-application/en/smallimage/adding-natural-language-interface-logo-small-1711533648462.jpg)
Adding a Natural Language Interface to Your Application
In this article, author Ashley Davis discusses how to add a natural language interface to a chatbot application using OpenAI REST API. He also shows how to extend the chatbot by adding voice commands using MediaRecorder API and OpenAI's speech transcription API.
-
/articles/pinterest-ad-ranking-ai/en/smallimage/UnpackinghowAds-1710929235364.jpg)
Unpacking How Ad Ranking Works at Pinterest
Aayush Mudgal describes how Pinterest serves advertisements. He discussed in detail how Machine Learning is used to serve ads at large scale. He went over ads marketplaces and the ad delivery funnel, the ad serving architecture, and two of the main problems: ad retrieval and ranking. Finally, he discussed some of the challenges and solutions for training and serving large models.
-
/articles/cloudflare-distributed-postgres/en/smallimage/Relational-Data-at-the-Edge-small-1710495549977.jpg)
Relational Data at the Edge: How Cloudflare Operates Distributed PostgreSQL Clusters
Explore Cloudflare's distributed PostgreSQL clusters and learn how a cross-region architecture ensures resilience. Discover how data storage and access at the edge deliver massive performance gains by reducing location-sensitive latency and why architecting for degraded states is much harder than for failure states.
-
/articles/managed-relational-databases-costs/en/smallimage/the-hidden-cost-of-using-managed-databases-small-1709656241351.jpg)
The Hidden Cost of Using Managed Databases
The rising popularity of managed relational databases brings hidden costs, and informed decisions are crucial for optimal use. This article shows the importance of monitoring service expenses, revising default settings, and understanding operational constraints, considering limitations like reduced flexibility and observability.
-
/articles/generative-ai-fraud-prevention/en/smallimage/generative-AI-shaping-a-new-future-for-fraud-prevention-small-1707813640911.jpg)
Generative AI: Shaping a New Future for Fraud Prevention
This article explores how generative AI affects fraud detection by reducing false positives and dynamically adapting to changing fraud patterns. This combination offers a potent preventive solution when integrated with machine learning. The efficacy and scalability of fraud prevention initiatives are enhanced by this innovative approach.
-
/articles/ai-organizational-resilience/en/smallimage/generative-AI-and-organizational-resilience-small-1705597161955.jpg)
Generative AI and Organizational Resilience
Generative AI will profoundly transform communication and information sharing over the next decade, but the change will be uneven across industries and roles. Organizations should empower workers to use AI augmentation thoughtfully, while building literacy on capabilities and limits. A balanced, conscientious integration, using iterations and customer feedback, will produce the best outcomes.
-
/articles/large-language-models-llms-prompting/en/smallimage/Maximizing-the-utility-of-large-language-models-through-prompting-small-1705424512331.jpg)
Maximizing the Utility of Large Language Models (LLMs) through Prompting
In this article, authors Numa Dhamani and Maggie Engler discuss how prompt engineering techniques can help use the large language models (LLMs) more effectively to achieve better results. Prompting techniques discussed include few-shot, chain-of-thought, self-consistency, and tree-of-thoughts prompting.
-
/articles/persist-with-jakartaee-data/en/smallimage/simplifying-persistence-integration-with-jakarta-EE-data-small-1696249233891.jpg)
Simplifying Persistence Integration with Jakarta EE Data
Jakarta Data streamlines Java enterprise data integration. Supporting various databases, it boosts productivity, is open-source, and community-driven. GitHub offers hands-on experience for modernizing enterprise architectures.
-
/articles/kafkaflow-dotnet-framework/en/smallimage/building-kafka-event-driven-applications-with-KafkaFlow-small-1693903734363.jpg)
Building Kafka Event-Driven Applications with KafkaFlow
KafkaFlow, a .NET open-source project, simplifies Kafka-based event-driven app development with features like middleware for message processing, enhancing maintainability, customization potential, and allowing developers to prioritize business logic.