RStudio AI Blog
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Welcome to our blog! Here you'll find the latest news, insights, and examples of using AI-related technologies (deep learning frameworks such as TensorFlow and Keras, distributed computing and automation-related frameworks like sparklyr & mlflow, and data ingestion (pins)) from R.
RStudio AI Blog
9M ago
Hugging Face rapidly became a very popular platform to build, share and collaborate on deep learning applications. We have worked on integrating the torch for R ecossystem with Hugging Face tools, allowing users to load and execute language models from their platform ..read more
RStudio AI Blog
10M ago
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 post we will talk about the key ideas behind LoRA in a very minimal torch example ..read more
RStudio AI Blog
10M ago
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 directed at a general audience, possibly with some technical and/or scientific background, but no knowledge is assumed of either deep learning or NLP. Having looked at major model ingredients, training workflow, and mechanics of output generation, we also talk about what these models are not ..read more
RStudio AI Blog
10M ago
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 successor to the original GPT. In the end, you'll dispose of an R-native model that can make direct use of Hugging Face's pre-trained GPT-2 model weights ..read more
RStudio AI Blog
10M ago
Announcing safetensors, a new R package allowing for reading and writing files in the safetensors format ..read more
RStudio AI Blog
11M ago
Implementation and walk-through of LLaMA, a Large Language Model, in R, with TensorFlow and Keras ..read more
RStudio AI Blog
11M ago
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 mathematical concepts, the library's key actors, and essential library use ..read more
RStudio AI Blog
1y ago
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 resume failed runs ..read more
RStudio AI Blog
1y ago
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 binaries, so you can install torch without having to deal with the CUDA installation ..read more
RStudio AI Blog
1y ago
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 diffusion provides an easy-to-use, easy-to-configure interface ..read more