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Painting the cosmos of your digital dreams.

A Good Description Is All You Need

How to use few shot learning to improve text classification performance Photo by Patrick Tomasso on Unsplash. I have been using large language models (LLMs) for a while now, both for personal projects and as part of my day-to-day work.

Mastering NLP: In-Depth Python Coding for Deep Learning Models

A step-by-step guide with comprehensive code explanations for text classification using deep learning in Python Continue reading on Towards Data Science »

How I used my first #30DayChartChallenge to learn Observable Plot

Photo by Isaac Smith on Unsplash. If you are in the field of data, you are probably familiar with the feeling of having a never ending list of tools you would like to learn, hopefully some day soon. For me,

Decoding the Data Scientist Hierarchy: From Junior to Senior — What Sets Them Apart?

Decoding the Data Scientist Hierarchy: From Junior to Senior — What Sets Them Apart? Shedding light on the scope of work expectations for junior, mid-level, and senior data scientists Photo by Edvard Alexander Rølvaag on Unsplash Experience and technical expertise play a big role

Optimization: Geometrical Interpretation of the Newton-Raphson Method

An exploration of a fundamental numerical optimization technique, with a focus on its geometrical interpretation Continue reading on Towards Data Science »

LLM Evals: Setup and the Metrics That Matter

Image created by author using Dalle-3 via Bing Chat How to build and run LLM evals — and why you should use precision and recall when benchmarking your LLM prompt template This piece is co-authored by Ilya Reznik Large language models (LLMs) are an incredible

Bring Correctness Back to Machine Learning

Are we building our field on wrong assumptions? Continue reading on Towards Data Science »