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Introduction A few weeks ago, the release of the open-source large language model DeepSeek-R1 has taken the AI world by storm. The Chinese research team claimed their new reasoning model was on par with OpenAI’s flagship model o1, open-sourced the model and gave details about the work behind it. In this blog post series, we […]
Deep Dive into DeepSeek-R1 – Part 1 Read More »
You are not dreaming! You can deploy open-source LLM in a single command line. Deploying advanced language models can be a challenge! But this sometimes this arduous task is becoming increasingly accessible, enabling developers to integrate sophisticated AI capabilities into their applications. In this guide, we will walk through deploying the Mistral-Small-24B-Instruct-2501 model using vLLM
Several month ago we discovered Falco, a Cloud Native near real-time threats detection tool, and we saw how to install it on an OVHcloud MKS cluster. Today we will connect our Falco instance to a MKS cluster in order to retrieve Kubernetes Audit Logs events and watch if everything is OK in our cluster. Concretely,
🚀 We are thrilled to announce the release of Deepseek-R1-Distill-Llama-70B on AI Endpoints! Distilled from Deepseek-R1, a powerful model excels in math, coding, and reasoning tasks. With AI Endpoints, you can integrate this model into your applications without needing extensive AI expertise. Our platform is designed with simplicity, security, and data privacy in mind, ensuring
Release of DeepSeek-R1 on OVHcloud AI Endpoints Read More »
In our previous article, Infrastructure as Code (IaC) on OVHcloud – part 1: Terraform / OpenTofu, we saw that deploying manually take time and it’s complicated. That why Infrastructure as Code (IaC) is powerful and allow you to automate infrastructure provisioning. But do you know that Terraform/OpenTofu is not the only tool that exists? In
Infrastructure as Code (IaC) on OVHcloud – part 2: Pulumi Read More »
RAG vs. Fine-Tuning Choosing the Right Method for External Knowledge In AI development, incorporating proprietary data and external knowledge is crucial. Two key methodologies are Retrieval Augmented Generation (RAG) and fine-tuning. Here’s a quick comparison. 𝐑𝐞𝐭𝐫𝐢𝐞𝐯𝐚𝐥 𝐀𝐮𝐠𝐦𝐞𝐧𝐭𝐞𝐝 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 (𝐑𝐀𝐆) 🔍 RAG combines an LLM’s reasoning with external knowledge through three steps:1️⃣ Retrieve: Identify related documents
🧠AI Concepts in a Nutshell: LLM Optimization Read More »
Container orchestration is now essential for modern application deployment, providing scalability, flexibility, and resource efficiency. It has become common to have to manage several Kubernetes clusters, but doing so effectively requires the right tools. Fortunately, OVHcloud offers a solution that enables you to manage all your Kubernetes clusters from a single, centralized management tool: Managed
Create Kubernetes clusters with OVHcloud Managed Rancher Service Read More »
LLM (Large Language Model) has undoubtedly been one of the most buzzing topics over the past two years, since the release of ChatGPT by OpenAI. 𝗧𝗵𝗲 𝗕𝗮𝘀𝗶𝗰𝘀 𝗼𝗳 𝗟𝗟𝗠𝘀 Large Language Models are essentially sophisticated AI systems designed to understand and generate human-like text. What makes them large” is the sheer volume of data they’re
🧠 AI concept in a Nutshell: LLM series. Read More »
If you want to have more information on AI Endpoints, please read the following blog post.You can, also, have a look at our previous blog posts on how use AI Endpoints. OVHcloud AI Endpoints allows developers to easily add AI features to there day to day developments. In this blog post, we will explore how
Create a sentiments analyzer with AI Endpoints Read More »
This document presents a reference architecture for a simple Retrieval Augmented Generation solution based on a vector Db using OVHcloud managed services. In this use case we have a large number of pdf/markdown documents that are ingested as a single batch to create a knowledge base and a simple text chat interface for a user
Reference Architecture : Retrieval Augmented Generation (RAG) Read More »
