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Optimizing AI- Why Fine-Tuning Parameters Is Key to Better Results

Image Credit: Encord Fine tuning parameters in AI models is more than adjusting dials- it’s about aligning the model’s behavior with real world need. When dealing large and dynamic datasets, especially in industries like retails, the right parameter tuning ensures that outputs are not accurate but context aware. Instead of relying on default settings, adjusting […]

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Test Strategy in the Age of AI: Smarter Planning for Smarter Testing

Image Credits: Katalon In Software Testing, a solid test strategy is more than just a document. It’s a blueprint for quality and it defines what needs to be tested, how, when, by who, and which tools. In traditional crafting a test strategy involved manual effort, relying heavily on experience, risky guesswork and time consuming planning […]