A series of articles devoted to some aspects of artificial intelligence and machine learning. These articles are designed to make some complex topics such as grokking or LLM's hallucinations more digestible. I have tried to summarize the existing literature, keep them updated with new developments, and also give practical examples.
Stra the project if you find it useful, and you can open a GitHub issue if you spot some errors or something missing.
- Here, you can find articles and tutorials about artificial intelligence
- Here, weekly collection of the best ML & AI news
If these articles are useful in your research, please cite the project:
BibTeX entry:
@misc{raieli2024aiarticles,
author={Raieli, Salvatore},
title={Artificial Intelligence Articles},
year={2024},
howpublished={\url{https://github.com/SalvatoreRa/artificial-intelligence-articles/blob/main/README.md}},
note={GitHub repository},
}
Chicago style for the GitHub repository:
Chicago Style (Author-Date): Raieli, Salvatore. 2024. Artificial Intelligence Articles. GitHub repository. https://github.com/SalvatoreRa/artificial-intelligence-articles/blob/main/README.md.
Chicago Style (Notes and Bibliography): Salvatore Raieli. "Artificial Intelligence Articles." 2024. GitHub repository. https://github.com/SalvatoreRa/artificial-intelligence-articles/blob/main/README.md.
Articles available at the moment:
- What does it mean LLM's hallucination? - a mini review about LLM hallucination: causes, types of hallucination, how to correct
- What is the role of small models in the LLM era? - a mini review about the importance of small LLM, when to use and why
- Kolmogorov-Arnold Networks (KANs): A Deep Dive into Next-Gen Neural Networks - a mini review about KAN: what they are, differences with MLP, when to use KAN and when MLP
- Emergent properties in LLM - a mini review about emerging properties in LLM and a discussion about their reality
- Grokking: Learning Is Generalization and Not Memorization - a mini review about grokking (delayed generalization). One of the most intriguing phenomena of neural networks: what is it, how it is happening, and why is important
- Introduction to medical image analysis - a mini review about how to preprocess in Python medical images (all the concepts can also be applied to any other image type).