Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
to automatically identify harmful language patterns based on large language models (LLMs) and sentiment analysis using GPT-4 as a reference model; (ii) Fact-checking mechanisms based on state-of-the-art solutions
-
analysis using GPT-4 as a reference model; (ii) Fact-checking mechanisms based on state-of-the-art solutions such as Google Fact Check Tools and guardrail systems based on GuardRails AI. The project is
-
Agreement No. 101081661, under the following conditions: Scientific Area: Physics and Energy Systems, Earth Sciences, Climate change and Environmental modelling, or similar areas. Admission requirements
-
. Candidate eligibility requirements: a) Skills in numerical modeling of the polymer injection molding process. b) Skills in data analysis techniques applied to polymer injection molding. 6. Workplan and
-
; Motivation Letter. Preferential requirements Research experience using qualitative and/or quantitative methodologies for data collection, processing, and analysis, namely univariate and multivariate models and
-
, you agree to be notified for all purposes within the scope of this procedure. 15. Method of publication/notification of results: The evaluation results are published within a maximum of 90 working days
-
?plid=374 ) or by a public higher education institution, even if the foreign scale is from 1 to 20. You should also provide the email address to which, by providing it, you agree to be notified for all
-
of the Large-Scale Language Model of the Portuguese Language of Portugal (Automatic Multimodal Language Assistant with Artificial Intelligence), reference AMALIA, inserted in measure RE-C05-i08 of the Recovery
-
tools (e.g., QGIS) in academic or project contexts will be valued; Knowledge and experience in geometric modelling applied to archaeology, particularly in the use of photogrammetry for the capture
-
AMALIA - Creation of the Large-Scale Language Model of the Portuguese Language of Portugal (Automatic Multimodal Language Assistant with Artificial Intelligence), reference AMALIA, inserted in measure RE