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- Intuition, algorithm and code for using ALEs to explain machine learning modelsContinue reading on Towards Data Science »
- Leveraging LLMs to augment your dataContinue reading on Towards Data Science »
- Large Language Models are amazing, but for many production problems, simpler techniques are faster, cheaper, and just as…Continue reading on Towards Data Science »
- Spoiler alert: neither of them is a resume.Continue reading on Towards Data Science »
- History, Architecture, Pre-training, and Fine-tuningPart 4 in the “LLMs from Scratch” series — a complete guide to understanding and building Large Language Models. If you are interested in learning more about how these models work I encourage you to read:Prelude: A Brief History of LLMs and TransformersPart 1: Tokenization — A Complete GuidePart 2: Word Embeddings with word2vec from Scratch in PythonPart […]
- How easy is it to transition from Python to Rust?Photo by Diego García on UnsplashSometimes, you must display vast amounts of data on an interactive map while keeping it usable and responsive. Interactive online maps are implemented in HTML, and adding many visual elements to the map display generally degrades performance and usability. A possible alternative is […]
- DEEP LEARNING WITH MULTIPLE GPUSSuper-fast setup of CUDA and PyTorch in minutes!Image by Author: Multi-GPU machine (cartoon)As Deep Learning models (especially LLMs) keep getting bigger, the need for more GPU memory (VRAM) is ever-increasing for developing them and using them locally. Building or obtaining a multi-GPU machine is just the first part of the challenge. Most libraries […]
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