The Cognitive Loop
Insights, discoveries, and reflections from my journey in AI research. Join me as I explore the fascinating world of artificial intelligence.
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Understanding Transformer Attention: A Visual Journey
A deep dive into how attention mechanisms work in transformer models, with interactive visualizations and practical examples.
Building Interpretable AI: Why It Matters
Exploring the importance of interpretability in AI systems and practical approaches to building more transparent models.
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My First Year in AI Research: Lessons Learned
Reflections on the challenges, breakthroughs, and surprises from my first year pursuing AI research.
Implementing Constitutional AI: A Practical Guide
Step-by-step guide to implementing constitutional AI principles in your own projects, with code examples.
The Future of Human-AI Collaboration
Thoughts on how humans and AI systems can work together effectively, based on recent research and personal experience.
Debugging Neural Networks: Tools and Techniques
Practical tips and tools for debugging neural networks, from gradient checking to activation analysis.