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Writing Test Cases for Machine Learning systems

Analytics Vidhya

Introduction Testing forms an integral part of any software development project. Testing helps in ensuring that the final product is by and large, free of defects and it meets the desired requirements. Proper testing in the development phase helps in identifying the critical errors […].

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GitHub Workflows For Test Automation

Analytics Vidhya

ArticleVideo Book “Testing leads to failure and failure leads to better understanding” Introduction: For every project, whether it is software development or data app. The post GitHub Workflows For Test Automation appeared first on Analytics Vidhya.

Testing 296
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Different Software Testing Strategies When Creating AI Applications

Smart Data Collective

This is a great opportunity for software publishers that have a knack for creating quality AI programs. In order to meet their expectations, they must use the right software. Fortunately, a growing number of software publishers are creating great applications that help their customers capitalize off of the wonders of AI technology.

Testing 110
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The early returns on gen AI for software development

CIO Business Intelligence

Generative AI is already having an impact on multiple areas of IT, most notably in software development. Early use cases include code generation and documentation, test case generation and test automation, as well as code optimization and refactoring, among others.

Software 131
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. It’s no surprise given the non-deterministic nature of LLMs.

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Key Success Metrics, Benefits, and Results for Data Observability Using DataKitchen Software

DataKitchen

Key Success Metrics, Benefits, and Results for Data Observability Using DataKitchen Software Lowering Serious Production Errors Key Benefit Errors in production can come from many sources – poor data, problems in the production process, being late, or infrastructure problems. Tests assess important questions, such as “Is the data correct?”

Metrics 120
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Gartner Market Guide to DataOps Software

DataKitchen

This document is essential because buyers look to Gartner for advice on what to do and how to buy IT software. Second, the components of the DataOps software solution match very well with how we have thought about the market and match the features of our products. What software should we build? What is missing? What is missing?

Software 130
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Easily Build an Optimization App and Empower Your Data

Speaker: Gertjan de Lange

Discover how the AIMMS IDE allows you to analyze, build, and test a model. See how an end-user runs the new model from their browser device, with no other software needed. Uncover how an interactive web application can be built on top of your model. Don't let uncertainty drive your business.

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Buyer's Guide for Supply Chain Network Design Software

As a result, most organizations struggle to answer network design questions or test hypotheses in weeks, when results are demanded in hours. Checklist items to consider when evaluating and selecting SC Network Design software. You will learn about: Supply chain design maturity benchmarks, provided by peers.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.