AI & ML

Simple Explanations for Beginners

Machine Learning

Key aspects

1. Data
2. Feature
3. Model

Types of Machine Learning

1. Supervised Learning

Training a model using labeled data where the outcome is already known

2. Unsupervised Learning

It involves training a model with data that does not have labelled outcome, model tries to find patterns, similarities or groups within the data on its own.

3. Reinforcement Learning

It is about training a model through trial and error where it receives rewards or penalities based on its actions.

RAG (Retrieval-Augmented Generation

RAG enhances the abilities of LLM by allowing them to access external data sources like databases or search engines, to improve accuracy of its responses.

For example: if you ask ChatGPT about the new tax regulations, it recognizes the need for recent information and because it is using RAG, it is able to retrieve relevant data from external sources like government websites to provide accurate response beyond its original training.