Testing generative AI is a flaky business. The randomness of the outputs, as well as the integrations between the apps and the LLMs, create plenty of places for tests to fail. But there are ways to make results more reliable and consistent, giving them a sense of predictability. While we...
Testing considerations for generative AI apps While the new frontier of generative AI apps opens exciting possibilities, it also demands careful navigation. Enterprise organizations must understand the distinct capabilities andlimitations of different AI models. Teams need to choose the most suitable models...
Unlock the power of Generative AI to revolutionize software testing! This comprehensive, hands-on course is designed for beginners and professionals alike, guiding you step-by-step to master AI-driven testing strategies. Learn how to generate test cases, create synthetic test data, and optimize tes...
As part of the learning curve with AI and LLMs, experiment all you want, but take the results with some skepticism, especially if you’re using it to write your code. Credit: Getty Images To get the most from generative AI (GenAI) tools like GitHub Copilot or ChatGPT, Datasette ...
Generative AI in Software Testing: Practical & Hands-On MP4|视频:h264,1280×720|音频:AAC,44.1 KHz,2 Ch 级别:初学者|类型:eLearning|语言:英语|持续时间:30讲座(2小时15分钟)|大小:1.61 GB 掌握软件测试中的生成式AI,从初学者到高级专家的实用,动手技术。
The company hasn’t announced a release date for Workspace AI, but the extended program, called Labs testing, is the last step before the public release. The tools are currently going through iterative testing and polishing, and when it comes to Workspace AI as a whole, it’s only the beg...
We are seeking a meticulous and experienced Tester to lead our Generative AI implementation testing efforts. In this role, you will be responsible for designing and executing comprehensive testing strategies to ensure the quality and reliability of Generative AI solutions across various applications and ...
This article is an in-depth exploration of the promise and peril of generative AI: How it works; its most immediate applications, use cases, and examples; its limitations; its potential business benefits and risks; best practices for using it; and a glimpse into its future. ...
Enhancing the quality of banking technology platforms through a hybrid AI testing approach With the continuous advancement of artificial intelligence (AI), particularly generative AI (GenAI), as a method for emerging banking technologies, its wider... I Itkin,E Treshcheva 被引量: 0发表: 2024年 ...
Agent Evaluation is a generative AI-powered framework for testing virtual agents. Internally, Agent Evaluation implements an LLM agent (evaluator) that will orchestrate conversations with your own agent (target) and evaluate the responses during the conversation. ...