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Beatriz Stollnitz

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TDS Archive

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Beatriz Stollnitz

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Sep 29, 2023

Add 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.

Add Your Own Data to an LLM Using Retrieval-Augmented Generation (RAG)

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TDS Archive

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Beatriz Stollnitz

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Jul 25, 2023

The Transformer Architecture of GPT Models

Learn the details of the Transformer architecture

The Transformer Architecture of GPT Models

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TDS Archive

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Beatriz Stollnitz

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May 20, 2023

How GPT Models Work

Learn the core concepts behind OpenAI’s GPT models

How GPT Models Work

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PyTorch

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Beatriz Stollnitz

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Jan 5, 2023

Distributed training with PyTorch and Azure ML

Suppose you have a very large PyTorch model, and you’ve already tried many common tricks to speed up training: you optimized your code, you…

Distributed training with PyTorch and Azure ML

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PyTorch

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Beatriz Stollnitz

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Dec 9, 2022

Faster training and inference using the Azure Container for PyTorch in Azure ML

If 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…

Faster training and inference using the Azure Container for PyTorch in Azure ML

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PyTorch

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Beatriz Stollnitz

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Nov 15, 2022

Training your PyTorch model using components and pipelines in Azure ML

In 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…

Training your PyTorch model using components and pipelines in Azure ML

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PyTorch

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Beatriz Stollnitz

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Nov 15, 2022

Training and deploying your PyTorch model in the cloud with Azure ML

You’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…

Training and deploying your PyTorch model in the cloud with Azure ML

Beatriz Stollnitz

Beatriz Stollnitz

Bea Stollnitz is a principal developer advocate at Microsoft, focusing on Azure OpenAI, Azure ML, and other AI/ML technologies.

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