Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
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
-
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
-
Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 24 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
-
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
-
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
-
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
-
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
-
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
-
, 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
-
for the automatic detection of changes over time, semantic web technologies for the representation and enrichment of knowledge derived from this detection, and finally LLMs for querying the resulting knowledge bases