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Date Post Summary
2025-03-23 Confidence Intervals for Regression Models A comparison of methods of computing confidence intervals for regression models
2025-03-14 DeepSeek Summary documentation containing history of DeepSeek models and various URLs
2025-03-06 Deep Dive into LLMs like ChatGPT My takeaways from the video
2025-03-06 DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters My takeaways from the video
2024-12-08 Advancing AI with Local Learning and Uncertainty Estimation o1-preview summary of the video
2024-11-24 Stanford CS229 I Machine Learning I Building Large Language Models (LLMs) o1-preview summary of the video
2024-05-05 CLIP - Contrastive Language-Image Pretraining A brief explanation of the CLIP method
2023-12-22 Approximate Nearest Neighbor Methods This post explores Approximate Nearest Neighbor (ANN) methods, including HNSW, LSH, ANNOY, Spill Trees, and Python libraries for implementing them.
2023-12-18 Text Classification Using Class Information How should our approach to text classification change if our classes also have meanings?
2023-12-13 Model Deployment Strategies A breakdown of the machine learning model development lifecycle, deployment strategies, and practical deployment techniques.
2023-08-26 Alignment Problem Summary of the blog Musings on the Alignment Problem by Jan Leike