There are many ways to train a model,📚 using detailed instructions, system prompts, Retrieval Augmented Generation, or function calling One way is fine-tuning, which is what this blog is about! ✨ Two years back we posted a blog on fine-tuning Llama models—it’s not nearly as complicated as it was before 😉. This time we’re using the […]
Fine tune an LLM with Axolotl and OVHcloud Machine Learning Services 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 guide to train a YOLO object detection algorithm on your dataset. It’s based on the YOLOv5 open source repository by Ultralytics. All the code for this blogpost is available in our dedicated GitHub repository. And you can test it in our AI Training, please refer to our documentation to boot it up. Introduction Computer Vision
Object detection: train YOLOv5 on a custom dataset Read More »
A guide to analyze and classify marine mammal sounds. Since you’re reading a blog post from a technology company, I bet you’ve heard about AI, Machine and Deep Learning many times before. Audio or sound classification is a technique with multiple applications in the field of AI and data science. Use cases Acoustic data classification:
AI Notebooks: analyze and classify sounds with AI Read More »
Are you using notebooks, such as Google Colab, for your business, studies or own usage? Are you reaching the maximum capabilities of this service and are looking for a simple yet powerful alternative? This blog post is for you! We will explore our own solution. Let’s be honest – Google Colab is solving many challenges.
OVHcloud AI Notebooks: the power of Jupyter without any compromise Read More »
