Artificial Intelligence
Artificial Intelligence (AI) is the ability of a program or machine to think and learn by itself. One of the main field of AI is Machine Learning.
What's "intelligence" ?
There is no clear definition of what's intelligent and what's not. For example, what can we consider as intelligent in biological life ? If humans are intelligent, what about, animals, plants or even unicellular organisms…? It's a bit the same for machines. Is a calculator intelligent compared to computers or complex programs ?
There is many way to answer the question. A famous one is the Turing test. If users interact with a program but think it's a human, it passes the test.
ELIZA Effect
The ELIZA effect describe how people tend to attribute human traits to intelligent systems that have a textual interface (typically with LLMs). Because of that, users empathise with AI system, from being polite to building friendship with.
Related article
- ELIZA Effect - NNGroup
- 4 degrees of anthropomorphism of Generative AI - NNGroup
Resources
Glossary
- MLM – Machine Learning Model
- ML Facilities – Resources used to train a model
- ML Inference – Using a trained model on data
- AI Glossary – NNGroup
Tools
- playground.tensorflow.org – Neural Network visualization
- projector.tensorflow.org – Word2Vec Embedding visualization
- microscope.openai.com – Vision models visualization
- bbycroft.net/llm – LLM models visualization
Learn
- developers.google.com/machine-learning – ML Formation by Google
- ml-cheatsheet.readthedocs.io– A good cheatsheet on core concept in ML
- neuralnetworksanddeeplearning.com – Free online book, by Michael Nielsen
- ig.ft.com/generative-ai – Illustrated overview on how LLM work
- physicsbaseddeeplearning.org – Book about physical simulations in Deep Learning
- interdb.jp/dl – The Engineer’s Guide To Deep Learning by Hironobu Suzuki