12AY1W9a4xozkqaL4ZzJHOHfQ

Foundry au service de la décentralisation, différenciation, déconcentration de la donnée

(Scroll down for English translation below) De nouvelles infrastructures digitales savamment déployées pourraient-elles rendre les villes plus responsables, durables, efficaces et agréables ? C’est l’idée que poursuivent, depuis près de quinze ans [1], les instigateurs des smart cities ou villes des intelligences. De Marseille à Paris, en passant par Dijon, Lyon, Chartes, Toulouse, Grenoble, Nice, Angers …

new and improved embedding model

New and Improved Embedding Model

We are excited to announce a new embedding model which is significantly more capable, cost effective, and simpler to use. The new model, text-embedding-ada-002, replaces five separate models for text search, text similarity, and code search, and outperforms our previous most capable model, Davinci, at most tasks, while being priced 99.8% lower. Read documentation Embeddings …

Do you need coding skills to build a chatbot?

Virtual assistants are valuable, transformative business tools that offer a compelling ROI while improving the customer experience. By 2030, conversational AI chatbots and virtual assistants will handle 30% of interactions that would have otherwise been handled by a human agent—up from 2% in 2022.[i] So why haven’t more companies adopted this solution?  Due to the …

ml 12773 image001

LightOn Lyra-fr model is now available on Amazon SageMaker

We are thrilled to announce the availability of the LightOn Lyra-fr foundation model for customers using Amazon SageMaker. LightOn is a leader in building foundation models specializing in European languages. Lyra-fr is a state-of-the-art French language model that can be used to build conversational AI, copywriting tools, text classifiers, semantic search, and more. You can …

1 PyTorch training 121522.max 1000x1000 1

Efficient PyTorch training with Vertex AI

Vertex AI provides flexible and scalable hardware and secured infrastructure to train PyTorch based deep learning models with pre-built containers and custom containers. For model training with large amounts of data, using the distributed training paradigm and reading data from Cloud Storage is the best practice. However, training with data on the cloud such as …