If you’ve been using LLMs in your projects and keep hitting that wall — “the model is smart, but it doesn’t quite talk the way I need it to” — this is the article for you. Have you built any app using LLMs that are available in HuggingFace or open source models, they don’t behave …
The loss function is how LLMs learn in the first place At the heart of every machine learning model, from simple linear regression to massive LLMs like GPT-4, is a loss function.It measures how wrong the model’s predictions are. For language models, the most common loss function is cross-entropy loss, which measures how well the model’s predicted probability distribution …
How does a machine learning model know that if it is performing well or not? It needs a way to measure how far off its predictions are from reality. That’s where the loss function comes in. Think of the loss function as the model’s internal GPS telling it, “You’re this far away from your destination—time to adjust!” Simple …