Think of a language model as a really sophisticated autocomplete system. You know how your phone suggests the next word when you’re texting?
If you are like me, you must have stumbled on this question – Why is matrix multiplication so significant – especially in the AI/ML universe.
At the heart of machine learning, algorithms learn from data. The key distinction between supervised and unsupervised learning is the type of data used for training.
In my last post, we explored the divide between Pandas (single machine) and PySpark (distributed computing).
