Beatriz StollnitzinTowards Data ScienceAdd Your Own Data to an LLM Using Retrieval-Augmented Generation (RAG)Learn how to add your own proprietary data to a pre-trained LLM using a prompt-based technique called Retrieval-Augmented Generation.Sep 29, 20236Sep 29, 20236
Beatriz StollnitzinTowards Data ScienceThe Transformer Architecture of GPT ModelsLearn the details of the Transformer architectureJul 25, 20239Jul 25, 20239
Beatriz StollnitzinTowards Data ScienceHow GPT Models WorkLearn the core concepts behind OpenAI’s GPT modelsMay 20, 202319May 20, 202319
Beatriz StollnitzinPyTorchDistributed training with PyTorch and Azure MLSuppose you have a very large PyTorch model, and you’ve already tried many common tricks to speed up training: you optimized your code, you…Jan 5, 2023Jan 5, 2023
Beatriz StollnitzinPyTorchFaster training and inference using the Azure Container for PyTorch in Azure MLIf you’ve ever wished that you could speed up the training of a large PyTorch model, then this post is for you! The Azure ML team has…Dec 9, 2022Dec 9, 2022
Beatriz StollnitzinPyTorchTraining your PyTorch model using components and pipelines in Azure MLIn this post, we’ll explore how you can take your PyTorch model training to the next level, using Azure ML. In particular, we’ll see how…Nov 15, 2022Nov 15, 2022
Beatriz StollnitzinPyTorchTraining and deploying your PyTorch model in the cloud with Azure MLYou’ve been training your PyTorch models on your machine, and getting by just fine. Why would you want to train and deploy them in the…Nov 15, 2022Nov 15, 2022