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CIFRE Stellantis - Extended, Adaptive and Dependable Graph RAG with Knowledge Graph for Compliance, Optimization, and Digital Continuity Job Opening In France, France – Now Hiring Université Paris Saclay

CIFRE Stellantis Extended, Adaptive and Dependable Graph RAG with Knowledge Graph for Compliance, Optimization, and Digital Continuity

    France Jobs Expertini Expertini France Jobs Art And Design Workers Cifre Stellantis Extended, Adaptive And Dependable Graph Rag With Knowledge Graph For Compliance, Optimization, And Digital Continuity

Job description

Topic description

Les systèmes RAG (Retrieval Augmented Generator) sont une des applications les plus déployées et visibles des Large Language Models (LLM).

L’ambition est de réduire les défauts des LLMs, en particulier les hallucinations et d’améliorer la pertinence des résultats en contraignant les recherches à un espace de documents spécifiques et spécialisés.

Les performances restent cependant limitées et nous nous intéressons est l’intégration de graphes de connaissances dans le système.

Cette approche est exploitée avec un certain succès et donne lieu au système GraphRAG pour lesquels il existe plusieurs implémentations possibles.

Une limitation essentielle de cette dernière approche est la disponibilité et la qualité du graphe de connaissances utilisé.

C’est l’objet de la thèse de travailler à la construction de graphes de connaissances à partir de bases documentaires à l’aide d’IA générative (LLM), et d’intégrer ces graphes dans les processus d’Information Retrieval et d’Inférence de ces GraphRAG.

Parmi les verrous scientifiques se trouvent la quantification et la propagation de l’incertitude issue de cette reconstruction du graphe au sein de GraphRAG, et la capacité à fournir à l’utilisateur final une réponse explicable, avec une mesure de l’incertitude associée.

L’évaluation du graphe sera un autre verrou scientifique critique, ainsi que l’améliorer des capacités de raisonnement du LLM dans ces conditions.

Enfin, nous aborderons le cycle de vie du système et la problématique de la mise à jour en continu du graphe de connaissances.

La thèse se déroule au LaMME et chez Stellantis, et a pour ambition de développer des méthodologies, des technologies et des prototypes, qui permettront de passer à l’échelle, et de traiter les systèmes industriels de très grande dimension, avec une fiabilité maîtrisée.

Funding category

Cifre

Funding further details

thèse avec STELLANTIS

Required Skill Profession

Art And Design Workers


  • Job Details

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Université Paris Saclay adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying France laws and regulations

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Université Paris Saclay interview tips for CIFRE Stellantis   Extended, Adaptive and Dependable Graph RAG with Knowledge Graph for Compliance, Optimization, and Digital Continuity

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