Explainability of LLMs
Explainable Artificial Intelligence (XAI) Concepts
Folkert Stijnman
ML Engineer
Large Language Models (LLMs)
Understand, generate, and interpret human language
ChatGPT, Bard
Trained on vast amounts of text data
Write articles, poetry, code
How to understand its decisions?
LLMs and explainability
Complex due to:
Depth and scale of neural network layers inside model
Large amounts of text, i.e. terabytes of data
Methods for LLM explainability
Creator
Transparency in training data
Use simpler models
Incorporate human feedback
End user
Self-explanation
Tweaking the input
Future use of LLMs
Enhancing explainability will remain a requirement
Building trust and confidence
Let's practice!
Explainable Artificial Intelligence (XAI) Concepts
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