The attention function is a key component in many modern machine learning models, especially in transformers, which power models like mine. It allows the model to focus on different parts of the input when producing an output, rather than treating all input tokens equally. Here’s a simplified explanation: Imagine you’re reading a sentence and trying to understand the meaning of…
Category: AI
What is Naïve Bayes and Term Frequency – Inverse Document Frequency (TF-IDF)?
Naïve Bayes This algorithm is used in AI for classification task. Initially this technique was used for email filtering. It compare two documents to identify spam emails. This technique finds which group of words are repeating in type of document. The group of words is referred to as bag-of-words. Term Frequency – Inverse Document Frequency…