Our weekly selection of must-read Editors' Picks and original features- 20947Murphy2025-03-23
An introduction to graph theory and its applications- 21017Murphy2025-03-23
A practical introduction to LLM fine-tuning- 24780Murphy2025-03-23
How to best target policies in the presence of churn- 26570Murphy2025-03-23
In the fast-paced world of data analysis, it’s not uncommon to find yourself experiencing déjà vu as you dive into new roles. You may have noticed a recurring pattern, where the same questions about data and business keep resurfacing. But let me ass- 29023Murphy2025-03-23
A case study with step-by-step code implementation- 20637Murphy2025-03-23
Transformers are a deep learning architecture that has made an outstanding contribution to the advancement of AI. It’s a significant stage within the realm of both AI and technology as a whole, but it’s also a bit complicated. As of today, the- 22953Murphy2025-03-23
Feature engineering, unsupervised classification, and anomaly detection with the versatility of the GMM algorithm- 26694Murphy2025-03-23
After reading the title, you probably ask yourself something along the lines of, "Functions in Python are an advanced concept? How? All...- 27113Murphy2025-03-23
How to Create a Chatbot Agent Leveraged by OpenAI Function Calling- 21918Murphy2025-03-23
"Any sufficiently advanced technology is indistinguishable from magic" – Arthur C. Clarke With the advances in self-driving cars, computer vision, and more recently, large language models, science can sometimes feel like magic! Models are- 27752Murphy2025-03-23
Using the Latest Diffusers Monkey Patching function to load LoRA produces exactly the same result compare with A1111- 21629Murphy2025-03-23
How you can fine-tune your LLMs with limited hardware and a tight budget- 29657Murphy2025-03-23
DATA SCIENCE Image generated by Author using StockImg.AI Introduction We’ve all heard the saying, "Variety is the spice of life," and in data, that variety or diversity often takes the form of dispersion. Data dispersion makes data fascina- 22920Murphy2025-03-23
Seven ways to track the evolution of LLMs with LangKit and WhyLabs- 20800Murphy2025-03-23
Count your tokens and avoid going bankrupt from using the OpenAI API- 25279Murphy2025-03-23
Today I’m going to share some experience of building a data engineering project that I always take pride in. You are going to learn the reasons behind why I used the tools and AWS components, and how I designed the architecture. Disclaimer: The cont- 27084Murphy2025-03-23
How to decide if using ML is a good idea, and how that is changing with Generative AI- 29449Murphy2025-03-23
Quantize your own LLMs using AutoGPTQ- 24789Murphy2025-03-23
Learn how to improve the fit of your linear models by making them more flexible to trend changes- 22266Murphy2025-03-23
Why is ChatGPT only trained up until 2021?
Learn how to rearrange your code to achieve significant speed improvements.
