Emerging Topics in Data Science - 2

AutoML can be used to develop predictive model for energy demand forecasting, renewable energy generation prediction etc

A large language model is a type of artificial intelligence system that can not generate human-like text.

Low code refers to a software development approach that doesn't require any coding knowledge at all.

Low-code no code can end up in a vendor lock-in

Why is quantum commputing not important?

Model-agnostic approaches to XAI involve using techniques that can be applied to any type of AI model

Which is not a benefit of AutoML

Explainable AI (XAI) techniques can be broadly classified into three categories, which one is not one

Which is not a step in AutoML

Which one is not an element of a large language model

Which is not a recent advance on the field of quantum computign?

It is concerned with making AI algorithms transparent and interpretable so that humans can understand how they work

How do low code applications not interact with data

Is not a fundamental principle of quantum computing

The training process of a large language model typically involves two phases: pre-training and fine-tuning.