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methods using knowledge graphs, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) techniques; Design of explainable AI models ensuring the traceability and transparency of the generated
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cutting-edge LLMs and advanced technologies. 📈 Boost Your Career: Publish in top-tier journals, present at international conferences, and enhance your academic and professional profile. 🤝 Network Globally
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 23 days ago
-supervised by: Mohamed Maouche, Researcher at Inria Raouf Kerkouche, Researcher at Inria Sonia Ben Mokhtar, Researcher at CNRS Scientific context Recent advances in Large Language Models (LLMs) have enabled
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Institute for Science and Education (ORISE) participant, you will join a community of scientists and researchers in an effort to explore the use of Large Language Models (LLMs) to enhance medical decision
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others. Excellent and ambitious JD, LLM, and SJD students with strong entering credentials. A three-course teaching load, small average class sizes, generous support for research conference travel, and an
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with containers and development tools such as Docker, Apptainer/Singularity, and Git. Experience with AI/ML frameworks such as PyTorch or TensorFlow. Experience with LLM APIs and tooling (e.g., Anthropic
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Click to read more about the Dublin Innovation Institute (DII): https://dublininstitute.northeastern.edu/about/ Term: 10 months, full time Reports to: Dr. Shashi Murthy, Head of Institute. Prof. Giovanni
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experience in IT systems administration, including demonstrated experience with Microsoft Azure and Microsoft 365 platform administration, working knowledge of AI/ML concepts, large language model (LLM
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, Europe and Mexico. Connections working at Carnegie Mellon University More Jobs from This Employer https://main.hercjobs.org/jobs/22368704/post-doctoral-fellow-x28-vc-llm-x29 Return to Search Results
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engineering discipline. Experience: The ideal candidate should have some knowledge and/or experience in several of the following topics (ordered by importance): Large language models and LLM-based agents Multi