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Open-source Large Language Models (LLMs) such as LLaMA, Falcon, and Mistral offer a range of choices for AI professionals and scholars. Yet, the majority of these…
Delving into one of the most common nightmares for data scientistsIntroductionOne of the biggest problems in linear regression is autocorrelated residuals. In this context, this article…
This week on KDnuggets: A collection of super cheat sheets that covers basic concepts of data science, probability & statistics, SQL, machine learning, and deep learning…
Image by Author If you know how to create a machine learning decision tree, congratulations, you have the same level of code expertise as ChatGPT…
With the evolving digital landscape, a wealth of data is being generated and captured from diverse sources. While immensely valuable, this vast universe of information often…
Training large transformer models poses significant challenges, especially when aiming for models with billions or even trillions of parameters. The primary hurdle lies in the struggle…
Diffusion models have shown to be very successful in producing high-quality photographs when given text suggestions. This paradigm for Text-to-picture (T2I) production has been successfully used…
RAGAs (Retrieval-Augmented Generation Assessment) is a framework (GitHub, Docs) that provides you with the necessary ingredients to help you evaluate your RAG pipeline on a component…
Accounting problems have never been an easy issue to solve, but today presents some unique challenges. The IRS is ramping up its compliance and audit efforts…
In the fast-paced world of sales and marketing, understanding and managing leads is like finding and nurturing hidden treasures. Every lead is a potential customer, but…