Development of Retrieval-Augmented Generation (RAG) Systems at SoftMining

Institution: SoftMining

Website: www.softmining.it

Country: Italy

Duration: 2-6 months

Contact information at the placement: Stefano Piotto, piotto@unisa.it

Contact information at the higher education institution: bbarone@unisa.it

Description:

Students will develop RAG systems to optimize the processes of molecular discovery and simulation. This includes designing AI architectures that improve the generation of solutions from vast molecular datasets.

Requirements:

• Data Science and AI Students with a particular focus on communication skills,
• organisational skills,
• problem-solving,
• analytical thinking,
• soft skills.

If you are interested, please fill out the form www.softmining.it/per-gli-studenti/.

Language of communication: English

(Internship/Position ID: NSMT_IT0002_2)