This project provides an automated pipeline to generate smart contracts using Large Language Models with Ollama. The pipeline compiles these smart contracts with the Solidity compiler (solc), analyzes them using Slither, and performs unit testing based on the provided test instructions in the prompts. Statistics are then produced to determine the efficiency of each model […]
PowerDNS-Operator is a Kubernetes operator that facilitates the management of PowerDNS resources, including Zones and RRsets, through the use of Custom Resources. Its primary purpose is to maintain the desired configuration state of PowerDNS. This operator is specifically designed to offer DNS capabilities as a self-service feature. Zone resources are managed at the cluster level, […]
WikiFactDiff is a dataset designed as a resource to perform atomic factual knowledge updates on language models, with the goal of aligning them with current knowledge. It describes the evolution of factual knowledge between two dates, named T_old and T_new, in the form of semantic triples. To enable the possibility of evaluating knowledge algorithms (such […]
Machine learning, in its various tasks from fitting to inference, can be highly energy intensive and raises growing environmental concerns. This situation inspired different initiatives fostering a more frugal, greener AI. Beyond the implementation of good practices, it appears pivotal for researchers and data engineers to gather an empiric knowledge of energy consumption per task, […]
Marine Detect is an innovative project that leverages Deep Learning technology to advance the detection and identification of marine species. These models were developed in the context of the Let’s Revive project in partnership with Tēnaka. Tēnaka emphasizes impact measurement through Tēnaka Science, a platform sharing monthly coral ecosystems data. To automate data collection, Orange […]
3D Gaussian Splatting is a new algorithm for synthesising photo-realistic 3D scenes from 2D images. This algorithm has been developed in 2023 by INRIA in Sophia Antipolis. In just a few months, it has become the reference in the field. This solution is broken down into 2 parts: a tool for training scenes with Pytorch […]
Speech processing models are computationally expensive, generating environmental concerns because of their high energy consumption. ESSL (Efficient Self-Supervised Learning) addresses this issue, enabling pretraining with a single GPU for only 28 hours. The reduction in computational costs represents up to two orders of magnitude improvement against existing speech models. Its source code is available on […]
IoT Continuum allows you to gain in efficiency by capitalising on everything that has been achieved in the previous development cycles of your industrial IoT project. The components and design used from the start-up phase (PoC ― Proof of Concept) are scalable and compatible with the industrial deployment phase. So there’s no need to redesign, […]
Explore the functionality of Orange Design System Charts, a dynamic JavaScript data visualization library built on top of Apache ECharts. This library facilitates the seamless integration of various Orange-branded chart types into websites, ranging from straightforward line charts to more complex pie charts, bar charts, and beyond. With a focus on practicality for Orange developers […]
An abstraction and access control layer for containers on RIOT OS TinyContainer allows to deploy an IoT logic adapted to a context (personalized user experience or deployment of an intelligence model) while controlling access to the exposed IoT resources. TinyContainer was presented in the RIOT Summit in September 2023. In the presentation, we described the […]