The End of Reckoning
Ben LevinsteinA blog about concepts in machine learning and philosophy
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 7 | Founded | 3 years ago | Last Issue | 3 years ago |
| Active | |||||
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Still No Lie Detector for Large Language Models
Background
In a previous post, I blogged about a method Collin Burns and others used to try to mind-reading LLMs to detect whether they are lying. Amos Azaria and Tom Mitchell also developed a supervised approach.
The tl;dr is that I d...
What's Going on Under the Hood of LLMs
Note: If you are unfamiliar with transformer architecture, I suggest reading Part I and Part II first.
Somehow the 9,216 attention heads and ninety-six MLP blocks in ChatGPT work together across its ninety-six layers to produce sensible re...
How to Think about Large Language Models
We’ve now covered the core components of transformers in Parts I, II, and III. Here, I want to step back a bit and think about what a trained model does, how the architecture scales, and what transformers are really doing. This post will co...
Mechanics of Training LLMs
In the last two posts, I gave a high-level walkthrough of the transformer architecture. In this post and the next, I’ll talk about the training process—i.e., how you start with a particular architecture and then improve its performance over...
A Conceptual Guide to Transformers: Part II
In the last post, I gave a basic walkthrough of the transformer architecture. There were a bunch of misrepresentations of how embeddings work, but I think the pedagogical cost was worth it for a first pass. I also left out some cool concept...
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Academic philosopher interested in AI, AI safety, and epistemology. Academic webpage: www.levinstein.org
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