Machine learning

LangChain4j perroquet representation

How to use AI Endpoints and LangChain4j

In the world of generative AI with LLMs, LangChain is one of the most famous Framework used to simplify the LLM use with API call. LangChain’s tools and APIs simplify the process of building LLM-driven applications like chatbots and virtual agents. LangChain  is designed to be used with Python language. A similar Java project exists: […]

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Sign Language recognition with AI

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 with a single GPU and OVHcloud

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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fastapi for spam classification

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

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speech to text app image3

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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speech to text app image2

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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speech to text app image1

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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streamlit app for eda and interactive prediction

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,

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