Christopher KarginTowards Data ScienceUnlocking Insights: Random Forests for PCA and Feature ImportanceHow a tried and tested solution can yield excellent results in tackling a day-to-day ML problem·12 min read·Mar 31, 2024--2--2
Christopher KarginTowards Data ScienceRun LLM inference using Apple HardwareUnlock Apple GPU Power for LLM Inference with MLX·15 min read·Jan 30, 2024----
Christopher KarginTowards Data ScienceBig O — A Practical ApproachUsing code examples to implement Big O best practices. How a mindset shift can boost code performance at runtime·13 min read·Jan 19, 2024----
Christopher KarginTowards Data ScienceHow to efficiently fine-tune your own open-source LLM using novel techniques — code providedIn this article I tune a base LLama2 LLM to output SQL code. I use Parameter Efficient Fine-Tuning Techniques to optimise the process.·13 min read·Dec 15, 2023--2--2
Christopher KarginTowards Data ScienceQuantisation and co. Reducing inference times on LLMs by 80%Showing techniques to optimise your own LLMs — with code examples·12 min read·Oct 27, 2023--7--7
Christopher KarginTowards Data ScienceEffective unit-testing in Python — with examplesHow to implement effective unit-testing in Python to ensure production-level, bug-free code.·16 min read·Oct 1, 2023--1--1
Christopher KargConsidering a career change into Data Science? My learnings and tips 1 year on.From Tree Surgeon to Data Scientist — how I completed my career change and tips for you to complete yours.·16 min read·Aug 9, 2023----