July 2, 2024

We use EnergyMeter, a Python tool, to measure the energy consumption of different LLMs including Llama, Dolly, and BLOOM Mauricio Fadel Argerich · Follow Published in Towards Data Science · 12 min read · 5 hours ago — Replying to all those questions requires a lot of energy! [made with AI by Designer.] Large Language Models (LLMs) are becoming the new mainstream for several tasks we perform everyday: searching answers to our everyday questions, summarizing

With PyTorch Implementation Alexey Kravets · Follow Published in Towards Data Science · 9 min read · 7 hours ago — Introduction One of the most significant challenges in training artificial neural networks is catastrophic forgetting. This problem arises when a neural network trained on one task (Task A) subsequently learns a new task (Task B) and, in the process, forgets how to perform the original task. In this article, we will explore a method

Transforming customer data into actionable insights with RFM segmentation Vito Rihaldijiran · Follow Published in Towards Data Science · 8 min read · 7 hours ago — Cover photo by Author generated in DALL-E Part 1: RFM Segmentation The methods vary when we talk about customer segmentation. Well, it depends on what we aim to achieve, but the primary purpose of customer segmentation is to put customers in different kinds of groups according to their

Production optimisation with R Robert Lohne · Follow Published in Towards Data Science · 14 min read · 7 hours ago — Last year, I was approached by a friend who works in a small, family-owned steel and metal business. He wanted to know if it was possible to create something that would help him solve the problem of minimising waste when cutting steel beams. Sounds like a problem for linear programming! When I started