What is a Large Language Model?
Imagine if Shakespeare, Einstein, and your quirky uncle Bob got together and decided to create a super-brain that knows everything but also insists on making dad jokes. That’s a Large Language Model (LLM) for you!
In less theatrical terms, an LLM is a type of artificial intelligence that has been trained on vast amounts of text data. It’s like a sponge that soaked up all the books, articles, and yes, even those weird fanfics you wrote in middle school. It then uses this knowledge to generate text, answer questions, and make you wonder if robots are secretly plotting to become stand-up comedians.
These models are called “large” because they have billions of parameters. No, not the kind of parameters you use to argue about pizza toppings, but mathematical values that help the model understand and generate human-like text. The result? A chatterbox AI that can write essays, compose poetry, and even give questionable dating advice.
So next time you chat with an AI, remember: it’s got the wisdom of the ages and the humor of a dad joke book. Proceed with caution!
Feature/Model Parameters |
GPT-4 1.5 Trillion |
LLaMA 1.2 Trillion |
---|---|---|
Training Data |
WebText-like corpus |
WebText-like corpus |
Training Objectives |
Language modeling |
Language modeling |
Special Features |
Improved prompt design |
Improved prompt design |
How to Access |
Via OpenAI API |
Application required |
Released By |
OpenAI |
Meta AI |
Dataset Used for Training |
WebText-like corpus |
WebText-like corpus |
Multilingual Support |
Yes |
Yes |