Image credit: bdtechtalks In every interaction with an AI model, there’s a limit to how much information it can process at once. This is known as the context window, and it includes both the prompt you provide and the response the model generates. The model doesn’t just read the input and reply, it analyzes token […]
In today’s AI-powered development landscape, a fresh concept is reshaping recently how we write code – vibe coding. Unlike traditional development that demands strict syntax and technical fluency, vibe coding allows developers, testers, and product teams to collaborate with AI using natural language. You describe your intent by writing simple prompts, for example, “Generate test […]
Image Credit:istockphoto Prompt injection is a growing concern in the world of AI. It happens when a user manipulates what they type into an AI system in a way that tricks the model into ignoring its original instructions. For example, if an AI is told, “You are a helpful assistant. Do not give advice on […]
Image credit: otalk9focus Reinforcement Learning (RL) is a core pillar of modern AI systems. It mimics how human learn by trying, receiving feedback, and improving over time. (To better understand RL, think of how dogs are trained with rewards and penalties.) Unlike supervised learning, where models learn from labeled datasets, RL allows AI to explore […]
Image credit: nature In AI, learning isn’t one-size-fits-all. Models learn from data in different ways, and understanding the three core types – supervised, unsupervised and deep learning (descriptive learning) – can help us better grasp how modern AI powers everyday applications, especially recommendation systems on platforms like Netflix and Amazon. Supervised learning is like training […]
Image credit: statsig Fine tuning the behavior of an AI model is not just about writing the right prompt-It is also about adjusting the temperature behind the scenes. In LLMs temperature controls how creative or focused the model’s output will be. A lower temperature such as 0.0-0.2 keeps the response consistent, fact based and deterministic, […]
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 […]
I personally used the Groq API to test and compare how two AI models perform with the same input. I compared two powerful models—LLaMA 3 70B Versatile and DeepSeek R1 Distill LLaMA 70B—by sending an identical JSON prompt requesting Selenium Java code for Salesforce login automation. My goal was to analyze and test how these models handle […]
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 […]
Software testing has been a key part of high quality product delivery, but most traditional methods require a significant manual work and technical knowledge. Gen AI Testing is transforming this, by enabling testers to interact with AI via basic prompts without needing deep automation expertise. Instead of building complex test scripts, testers can ask AI […]
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