| Advancing AI with Local Learning and Uncertainty Estimation |
2024-12-08 |
o1-preview summary of the video |
| Stanford CS229 I Machine Learning I Building Large Language Models (LLMs) |
2024-11-24 |
o1-preview summary of the video |
| CLIP - Contrastive Language-Image Pretraining |
2024-05-05 |
A brief explanation of CLIP method |
| Approximate Nearest Neighbor Methods |
2023-12-22 |
This blog post explores Approximate Nearest Neighbor (ANN) methods, discussing their importance, various techniques like HNSW, LSH, ANNOY, and Spill Trees, and Python libraries for implementing these methods. |
| Text Classification Using Class Information |
2023-12-18 |
How should our approach to text classfication change if our classes also have meanings. |
| Model Deployment Strategies |
2023-12-13 |
I dissect the machine learning model development lifecycle, exploring deployment strategies and techniques for effective model deployment. |
| Alignment Problem |
2023-08-26 |
Summary of the blog Musings on the Alignment Problem by Jan Leike |