There are two interleaved high-level goals for the EXCITEMENT project. The first is to set up, for the first time, a generic architecture and a comprehensive implementation for a multilingual textual inference platform and to make it available to the scientific and technological communities. The second goal of the project is to develop a new generation of inference-based industrial text exploration applications for customer interactions, which enables businesses to better analyze and make sense of their diverse and often unpredicted client content. These goals were be achieved for three languages, i.e. English, German and Italian, and for three customer interaction channels, i.e. speech (transcriptions), email and social media.
π JOB ALERT 3: The FBK's MT Unit is hiring!
Join us as a Researcher in Responsible & Trustworthy NLP and advance ethical, fair, and transparent language technologies. If you care about building safe and accountable AI systems, you can apply here:
π https://jobs.fbk.eu/Annunci/Offerte_di_lavoro_A_Researcher_in_Responsible_and_Trustworthy_NLP_241757983.htm
π JOB ALERT2: The FBK's MT Unit is hiring!
Join us as a Junior Research Engineer in Multimodal LLMs and help build next-gen AI across text, speech, and video. If youβre passionate about deep learning and multimodal NLP, we want to hear from you!
Apply https://jobs.fbk.eu/Annunci/Jobs_A_Junior_Research_Engineer_in_Multimodal_Large_Language_Models_LLMs_241758390.htm
π JOB ALERT: The FBK's MT Unit is hiring!
Join us as a Researcher in Multimodal LLMs and work at the forefront of AI, combining text, speech, and video. If youβre passionate about deep learning and next-gen models, we want to hear from you!
Apply π https://jobs.fbk.eu/Annunci/Jobs_A_Researcher_in_Multimodal_Large_Language_Models_LLMs_241756954.htm