Tapping the Power of Supply Chain Data with Machine Learning
In the dynamic realm of supply chain management, one thing is clear: the ability to harness the power of data is the key to success. But with data pouring in...continue reading.
In the dynamic realm of supply chain management, one thing is clear: the ability to harness the power of data is the key to success. But with data pouring in...continue reading.
Imagine a world where supply chain optimization is easier than ordering pizza, where freight forwarding is done with the same efficiency as streaming your favorite movie. It may sound too...continue reading.
Imagine a world where supply chain optimization is easier than ordering pizza, where freight forwarding is done with the same efficiency as streaming your favorite movie. It may sound too...continue reading.
Obviously, AI taken off in the last year in ways that were hard for most people to predict. AI went from being a somewhat niche technical subject that nerdy guys...continue reading.
The R {targets} package is a pipeline tool for statistics, data science, and machine learning in R. The package allows you to write and maintain reproducible R workflows in pipelines...continue reading.
LoRA (Low Rank Adaptation) is a new technique for fine-tuning deep learning models that works by reducing the number of trainable parameters and enables efficient task switching. In this blog...continue reading.
A couple of days ago, I wrote a blog post about how GPT writes bad Pandas code. If you’ve been reading at the blog for a while, you’ve probably realized...continue reading.
This is a high-level, introductory article about Large Language Models (LLMs), the core technology that enables the much-en-vogue chatbots as well as other Natural Language Processing (NLP) applications. It is...continue reading.
Implementing a language model from scratch is, arguably, the best way to develop an accurate idea of how its engine works. Here, we use torch to code GPT-2, the immediate...continue reading.
Announcing safetensors, a new R package allowing for reading and writing files in the safetensors format.continue reading.
Statistical Modeling with R (A dual frequentist and Bayesian approach for life scientists) is a recent book written by Pablo Inchausti, from Uruguay. In a highly personal and congenial style...continue reading.
AI is turning the tech world upside-down right now. With the release of large-language systems like Chat-GPT and various coding copilots, many people are questioning the value of a tech...continue reading.
torch v0.11.0 is now on CRAN. This release features much-enhanced support for executing JIT operations. We also amended loading of model parameters, and added a few quality-of-life improvements, like support...continue reading.
Implementation and walk-through of LLaMA, a Large Language Model, in R, with TensorFlow and Keras.continue reading.
In this tutorial, I’ll show you how to do some simple exploratory data analysis (EDA) for a machine learning project. In this tutorial, we’ll look at the Titanic dataset, which...continue reading.
Escnn, built on PyTorch, is a library that, in the spirit of Geometric Deep Learning, provides a high-level interface to designing and training group-equivariant neural networks. This post introduces important...continue reading.
For years, people have been talking about the era of “big data.” The data deluge. As early as 2010, The Economist wrote about how “quantity of information in the world...continue reading.
luz v0.4.0 is now on CRAN. This release adds support for training models on ARM Mac GPUs, reduces the overhead of using luz, and makes it easier to checkpoint and...continue reading.
torch v0.10.0 is now on CRAN. This version upgraded the underlying LibTorch to 1.13.1, and added support for Automatic Mixed Precision. As an experimental feature, we now also support pre-built...continue reading.
Currently, in generative deep learning, no other approach seems to outperform the family of diffusion models. Would you like to try for yourself? If so, our torch implementation of de-noising...continue reading.