Check out the most recent SEO-optimized Machine Learning articles created from YouTube videos using Scribe.
Explore effective strategies for deduplicating products on large e-commerce platforms. Learn about clustering techniques, image recognition, and text analysis for managing duplicate listings at scale.
Neil Kubler discusses mechanistic interpretability of neural networks, including superposition, induction heads, and the implications for AI alignment and safety.
Garcon is an innovative tool developed by Anthropic that enables researchers to easily analyze and interpret large AI models. It provides a flexible interface for probing model internals and running experiments at scale.
A comprehensive overview of the latest AI developments from major tech companies and startups, covering new features, research breakthroughs, and industry trends.
Garcon is an innovative tool developed by Anthropic that enables researchers to perform interpretability work on large AI models. It provides a flexible interface for inspecting and manipulating model internals.
An in-depth exploration of the mathematical framework for understanding transformer circuits, focusing on mechanistic interpretability and the functional form of attention-only transformers.
A detailed walkthrough of coding GPT-2 from scratch, covering all components of the Transformer architecture and how to train a small language model.
Explore the inner workings of Transformer models, the architecture behind modern language models like GPT-3. Learn about their structure, components, and how they process and generate text.
Explore the role of positional encoding in Transformers, focusing on ROPE and methods for extending context length. Learn how these techniques impact model performance and generalization.