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Comprendre les nuances entre l'IA prédictive et l'IA générative dans l'évaluation des modèles
Identifier et appliquer les métriques d'évaluation appropriées pour différentes tâches d'IA générative.
Évaluer efficacement l'IA générative grâce aux divers services d'évaluation de Vertex AI
Implémenter les bonnes pratiques pour l'évaluation des LLM, afin d'assurer un déploiement des modèles robuste.
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Ce cours apporte aux professionnels du machine learning les techniques, les bonnes pratiques et les outils essentiels pour évaluer les modèles d'IA prédictive et générative. L'évaluation des modèles est primordiale pour s'assurer que les systèmes de ML fournissent des résultats fiables, précis et de haut niveau en production.
Les participants acquerront une connaissance approfondie de diverses métriques et méthodologies d'évaluation, ainsi que de leur application appropriée dans différents types de modèles et tâches. Le cours mettra l'accent sur les défis uniques posés par les modèles d'IA générative et proposera des stratégies pour les relever efficacement. Grâce à la plate-forme Vertex AI de Google Cloud, les participants apprendront à implémenter des processus d'évaluation rigoureux pour la sélection, l'optimisation et la surveillance continue des modèles.
Ce module présente les objectifs et la structure du cours.
Ce module présente les défis liés à l'évaluation des modèles et les solutions offertes par Vertex AI.
3 videos1 reading1 assignment
Ce module décrit les défis liés à l'évaluation des tâches d'IA générative et les bonnes pratiques pour les relever. Il aborde également les différents types de services d'évaluation des modèles disponibles dans Vertex AI, et présente les services d'évaluation Métriques automatiques, Comparaison automatique et Biais de sécurité de Vertex AI.
7 videos1 reading1 assignment
Ce module propose une synthèse du cours articulée autour des concepts, outils, technologies et produits les plus importants.
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