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 problemMar 312Mar 312
Christopher KarginTowards Data ScienceRun LLM inference using Apple HardwareUnlock Apple GPU Power for LLM Inference with MLXJan 30Jan 30
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 runtimeJan 19Jan 19
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.Dec 15, 20232Dec 15, 20232
Christopher KarginTowards Data ScienceQuantisation and co. Reducing inference times on LLMs by 80%Showing techniques to optimise your own LLMs — with code examplesOct 27, 20237Oct 27, 20237
Christopher KarginTowards Data ScienceEffective unit-testing in Python — with examplesHow to implement effective unit-testing in Python to ensure production-level, bug-free code.Oct 1, 20231Oct 1, 20231
Christopher KarginPython in Plain EnglishConsidering 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.Aug 9, 2023Aug 9, 2023
