Notes on ML, Chemistry, and Research Life

Training loss and total gradient norm for stable, aggressive, and gradient-clipped runs

October 2025

How to monitor, diagnose, and solve gradient issues in foundation models

A practical guide to vanishing gradients, exploding gradients, layer-wise gradient tracking, and stabilization techniques using PyTorch and Colab.

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Synthetic tabular data generation pipeline with generation, post-processing, and evaluation steps

September 2025

Synthetic data for LLM training

Where synthetic data is useful, where it is risky, and how GANs, diffusion models, LLMs, and meta-learning approaches generate training data.

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Broken drinking glasses resolving the ambiguity of translating the word glasses

August 2025

Multimodal large language models

An overview of how multimodal LLMs combine text, images, audio, and other modalities to reason across richer inputs.

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