At OVHcloud, we are constantly looking for ways to improve our operations and reduce our impact on the environment. This has been a defining part of the company since 1999 and is a key part of our organisational DNA and our commercial model. We are very proud to present the new Smart Datacenter cooling system, […]
Beyond the buzz: Building AI on solid foundations Artificial intelligence has quickly become the cornerstone of digital innovation. From text generation to image recognition and intelligent automation, AI is redefining how organisations extract value from data. At OVHcloud, we believe this transformation shouldn’t only belong to the tech elite – it should be open, accessible,
PostgreSQL and AI: The pragmatic path to smarter data Read More »
In this tutorial, we will learn how to serve Large Language Models (LLMs) using vLLM and the OVHcloud AI Products.
How to serve LLMs with vLLM and OVHcloud AI Deploy Read More »
How to train a generative adversarial network (GAN) to generate images ?
How to train a DCGAN ?
How GAN and DCGAN work ?
Understanding Image Generation: A Beginner’s Guide to Generative Adversarial Networks Read More »
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
Create your solution for Sign Language recognition with OVHcloud AI tools Read More »
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
Fine-Tuning LLaMA 2 Models using a single GPU, QLoRA and AI Notebooks Read More »
brain tumor segmentation tutorial with BraTS2020 dataset and U-Net
Image segmentation: Train a U-Net model to segment brain tumors Read More »
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
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
How to build a Speech-To-Text Application with Python (3/3) Read More »
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
How to build a Speech-To-Text Application with Python (2/3) Read More »
