Nom de l’auteur/autrice :TeamGiris

Define your strategy

The episode 2 outlines key considerations for building a deep learning model, starting with understanding whether you’re working from scratch or within an existing environment. Important factors include domain expertise, data type, data streaming needs, software integration, output dynamics, performance requirements, regulatory compliance, interpretability, scalability, and computational resources.

Define your model type for a proprietary architecture

Episode 1, season 1 – Define your model type for a proprietary architecture This article marks the beginning of an exciting summer series where we will guide you through creating your own proprietary model architecture. This series will culminate in the release of two open-source models: Elektra (combining MLOps, DevOps, and cybersecurity) and Turing (focusing on Product Ownership and …

Define your model type for a proprietary architecture Lire la suite »

Retour en haut