What are LLMs???

This article provides a short introduction to Large Language Models, their uses, and some limitations associated with LLMs.

According to Wikipedia, a Large Language Model (LLM) is a computational model capable of language generation or other natural language processing tasks. In simpler words, it is a type of AI that allows computers to understand and generate human language by processing large amounts of data. Examples of popular LLMs are:
* Google's Gemini
* Chat GPT's GPT-3.5
* Meta AI's Llama

How Do They Do It?
An LLM is a neural network (it processes data like the human brain). An example of a neural network is the self-driving car. They learn patterns from a large amount of data. The input given to an LLM is called a prompt, and prompt design is the process of determining what input to feed an LLM to get the desired result.

What Can They Be Used For?
LLMs provide many advantages like:
* Creating documentation
* Multilingual support
* Translation
* Simple math
* Conversations
* Code generation
* Decision making
* Poems
* Inspiration
Note: Not all LLMs' answers are right.

Limitations
As efficient and interesting as LLMs can be, there are some restraints on this piece of technology which include:
* Accuracy
* Cost
* Data Privacy and Information
* Limited Knowledge
* Environmental Impact

Thanks for reading.