Building a Transformer from Scratch: Translating Pseudo Code to C++
A guide on how to build a transformer from scratch and then training it to translate pseudo code to compilable C++ code
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// Notes & Dispatches
A guide on how to build a transformer from scratch and then training it to translate pseudo code to compilable C++ code
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A simple guide to how to run Mamba, a State Space Model, on Kaggle
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I use retrieval augmented generation to enhance diagnosis using clinical data.
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I fine-tune BLIP-2, a powerful vision-language model, on the Flickr8k dataset to generate image captions. Integrating LoRA (Low-Rank Adaptation) to fine-tune efficiently on limited compute.
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A guide on how to fine-tune the DeepSeek Math model to solve math problems expressed using emojis.
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