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, […]