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Art by Clipped from episode 19 of AXRP: Transcript of that episode: ... This was a presentation at Global AI Bootcamp, Singapore. In this session, I discussed the importance of model EuroPython 2025 — South Hall 2B on 2025-07-17] *Hacking LLMs: An Introduction to Mechanistic
Overview of Machine Learning Interpretability Toolkit
We will discuss a little about what it means to develop AI in a transparent way. We will introduce our Arvind Satyanarayan's keynote at Visualization in Data Science (VDS) 2021, held at ACM KDD 2021. Take your personal data back with Incogni! Use code WELCHLABS at the link below and get 60% off an annual plan: ... To address this problem, a new line of research has emerged that focuses on developing A surprising fact about modern large language models is that nobody really knows how they work internally. At Anthropic, the ... How can we reverse engineer what a neural network is doing? In this IASEAI '25 session, An Introduction to Mechanistic ...
In the first segment of the workshop, Professor Hima Lakkaraju motivates the need for This talk was recorded at NDC AI in Oslo, Norway. Attend the next NDC ... What's happening inside an AI model as it thinks? Why are AI models sycophantic, and why do they hallucinate? Are AI models ... This meetup was held in Mountain View on November 1, 2017. To view the slides, please visit here: ... This 5 minute video explains the difference between global Professor Hima Lakkaraju presents some of the latest advancements in
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Last Updated: June 10, 2026
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Machine Learning Interpretability Toolkit
![The Dark Matter of AI [Mechanistic Interpretability]](https://ytimg.googleusercontent.com/vi/UGO_Ehywuxc/mqdefault.jpg)
The Dark Matter of AI [Mechanistic Interpretability]
Manipulating and Measuring Model Interpretability
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![The Dark Matter of AI [Mechanistic Interpretability]](https://i0.wp.com/ytimg.googleusercontent.com/vi/UGO_Ehywuxc/mqdefault.jpg?resize=320,180)
