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: 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, […]