Large Language Models (LLM) in Tractor engineering

Institute

Lehrstuhl für Agrarmechatronik (TUM-ED)

Type

Student Job /

Content

 

Description

The tasks involve programming applications utilizing various LLM's and API's according to specification. Tasks require implementation of custom RAG, finetuning models with own dataset, and programming user interfaces, calling LLM through API and programming custom scripts.

The number of working hours can be from 8 to 20 hours per week, arranged on workdays that fit the student's schedule. The Chair of Agrimechatronics operates mainly in Freising/Weihenstephan (Dürnast). We also have a small office in Garching. Partially remote work is possible.

Requirements

• Programming skills in Python, C++
• Experience with Langchain and Vector Databases helpful
• Understanding of LLMs like ChatGPT
• Prompt engineering
• Fluent language skills in written and spoken English

Possible start

sofort

Contact

Timo Oksanen
timo.oksanentum.de

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