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. The project aims at building large-scale AI accelerators for Large Language Models (LLMs), with a specific focus on Transformers. Diverse hardware optimization techniques can be used, targeting a scalable tile
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11 May 2024 Job Information Organisation/Company CNRS Department Dynamique du langage Research Field Language sciences Language sciences » Linguistics Language sciences » Languages Researcher
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the second year and some conference attendance in the second and third years. Overview Forming an independent project in its own right, this PhD studentship in applied linguistics orFrench (applied
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resources may be provided by the Jean-Zay supercomputer. Large language models (LLMs) and deep contextual embeddings (i.e., BERT and its variants) are trained on large corpora, usually extracted from various
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About the Project This PhD project aims to develop personalised conversational systems by leveraging user simulation, supported by recent advancements in large language models with their strong
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language tools and mechanisms for building secure data sharing platforms. • Experimental Design: Design and conduct experiments to test the efficacy and performance of developed tools and mechanisms in
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10 May 2024 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 9 Jun 2024 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded...
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This position offers a unique opportunity to delve into cutting-edge research at the intersection of cybersecurity and privacy, addressing real-world challenges in data protection and information flow control. The candidate will work within a dynamic and collaborative research environment,...
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Supervisory Team: Dr. Muhammad Burhan Hafez (Lead Supervisor), Professor Adam Sobey PhD Supervisor: Muhammad Burhan Hafez Project description: The integration of Large Language Models (LLMs
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and analysis, content interaction and availability, and Norwegian language technology. The goal is to develop responsible technological solutions to societal challenges like AI, fake news, echo chambers