How to serve LLMs with vLLM and OVHcloud AI Deploy
In this tutorial, we will learn how to serve Large Language Models (LLMs) using vLLM and the OVHcloud AI Products.
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Artificial Intelligence
Understanding Image Generation: A Beginner’s Guide to Generative Adversarial Networks
How to train a generative adversarial network (GAN) to generate images ?
How to train a DCGAN ?
How GAN and DCGAN work ?
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Create your solution for Sign Language recognition with OVHcloud AI tools
A guide to build a solution for sign language interpretation based on a Computer Vision algorithm: YOLOv7. Introduction In the field of Artificial Intelligence, we often talk about Computer Vision and Object Detection, but what role do these AI techniques play in the vast field of healthcare? We’ll see that data plays a key role
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Fine-Tuning LLaMA 2 Models using a single GPU, QLoRA and AI Notebooks
In this tutorial, we will walk you through the process of fine-tuning LLaMA 2 models, providing step-by-step instructions. All the code related to this article is available in our dedicated GitHub repository. You can reproduce all the experiments with OVHcloud AI Notebooks. Introduction On July 18, 2023, Meta released LLaMA 2, the latest version of
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Image segmentation: Train a U-Net model to segment brain tumors
brain tumor segmentation tutorial with BraTS2020 dataset and U-Net
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Deploy a custom Docker image for Data Science project – A spam classifier with FastAPI (Part 3)
A guide to deploy a custom Docker image for an API with FastAPI and AI Deploy. Welcome to the third article concerning custom Docker image deployment. If you haven’t read the previous ones, you can check it: – Gradio sketch recognition app– Streamlit app for EDA and interactive prediction When creating code for a Data
How to build a Speech-To-Text Application with Python (3/3)
A tutorial to create and build your own Speech-To-Text Application with Python. At the end of this third article, your Speech-To-Text Application will offer many new features such as speaker differentiation, summarization, video subtitles generation, audio trimming, and others! Final code of the app is available in our dedicated GitHub repository. Overview of our final
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How to build a Speech-To-Text Application with Python (2/3)
A tutorial to create and build your own Speech-To-Text Application with Python. At the end of this second article, your Speech-To-Text application will be more interactive and visually better. Indeed, we are going to center our titles and justify our transcript. We will also add some useful buttons (to download the transcript, to play with
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How to build a Speech-To-Text application with Python (1/3)
A tutorial to create and build your own Speech-To-Text application with Python. At the end of this first article, your Speech-To-Text application will be able to receive an audio recording and will generate its transcript! Final code of the app is available in our dedicated GitHub repository. Overview of our final app Overview of our
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Deploy a custom Docker image for Data Science project – Streamlit app for EDA and interactive prediction (Part 2)
A guide to deploy a custom Docker image for a Streamlit app with AI Deploy. Welcome to the second article concerning custom Docker image deployment. If you haven’t read the previous one, you can read it on the following link. It was about Gradio and sketch recognition. When creating code for a Data Science project,