Understanding Bias in LLMs.
“In AI WE Trust.”
Firstly a LLM ( Large Language Model) is a type of AI algorithm that uses deep learning techniques to summarize, generate and predict new content.
The reason why they are called “large” is because the model requires millions or billions of parameters, which are used to train the model using a “large” corpus of text data.
LLMs and NLP work hand in hand as they aim to possess a high understanding of the human language and its patterns and learn knowledge using large datasets.
This is important to grasp as you still have a choice to select which LLM you’ll be using.
As LLMs increase their size there’s a chance of not being able to see through where the data comes from or even grasp which truths you have to put your trust in.
Especially not fully Open Sourced models will increase their science and knowledge as truth covered by the buzzword Security.
So let’s take a look into the biases in LLMs and see how you soon won’t be able to grasp where they come from.
By keeping up your own critical thinking you will be able to see through these and apply them to your choices, values etc.
