Discover LIAGORA 🧪
ILLUIN Technology and CentraleSupélec's MICS laboratory announce the creation of LIAGORA, the Generative AI Laboratory for Agent-Based Research Orchestration. Supported by the French National Research Agency (ANR), this ambitious laboratory aims to develop high-performance, ethical and sustainable generative AI solutions in response to industrial challenges.
LIAGORA focuses its work on 3 major areas:
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- The design and orchestration ofAgents based on LLM: translation of FAQs and corpora into business rules, use of business rules and tools in wizards
- Evaluation and design of RAG systems Complex and differentiated textual RAG pipelines, multimodal RAG pipelines
- The securing assistants Hybridization of rules, extractive AI and generative AI engines, securing system inputs and outputs.
Anchored in the Paris-Saclay ecosystem, LIAGORA relies on strong values to shape Responsible, Ethical and Trustworthy AI, and is notably committed to limiting systemic biases and reducing the energy consumption of systems.
Read the press release 👇
To read the full press release, click on this link 📋
From left to right: Céline HUDELOT - Director of the MICS Laboratory, Robert VESOUL, CEO and co-founder of ILLUIN Technology, Gautier VIAUD, Head of Research & Development at ILLUIN Technology, and Romain SOUBEYRAN, Director of CentraleSupélec, at the inauguration of the joint LIAGORA laboratory.
Here's what they have to say... 🎙️
Robert VESOUL, CEO and co-founder of ILLUIN Technology
"Leveraging innovations such as multimodal orchestration and foundation model optimization (LLM, VLM), LIAGORA will meet industrial needs while overcoming limitations such as hallucinations, biases and excessive resource consumption."
Céline HUDELOT, University Professor in Computer Science at CentraleSupélec, Director ofthe MICS Laboratory
"At the same time, LIAGORA relies on strong values to shape responsible, ethical and trustworthy AI. The laboratory is already heavily involved in work on the transparency, explicability and accountability of AI systems. It is therefore only natural that it should be committed to promoting these principles within LIAGORA, as well as those relating to data protection and limiting systemic bias."
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