This internship is in ITRI's Information and Communications Research Laboratories (ICL).

Job Description:
1. GAI/NLP algorithm development, participating in large-scale language model (LLM) practical projects, focusing on but not limited to traditional Chinese characters and basic data collection code generation.
2. Adjust model parameters, participate in the development and adjustment of Fine-Tuning algorithms, and use Prompting technologies such as Few-shot to achieve In context learning tuning and generation results.
3. Development of the Retrieval-Augmented Generation (RAG) algorithm architecture, combining the retriever and generator to optimize LLM validity.
4. Assist in writing system development documents and investigating related papers and technologies.
5. Responsible for tasks assigned by the supervisor.

Qualifications：
1. Junior students or above in information or related fields
2. Familiar with Linux (CentOS, Ubuntu) operating system
3. Familiar with Python development
4. Have independent learning ability and enthusiasm for research and development
5. Those with experience in GAI, NLP, LLM implementation, or familiar with related technologies (such as ODQA architecture, RAG architecture, DPR, LoRA) are especially preferred
6. Those familiar with the Pytorch deep learning framework are preferred
Priority is given to long-term interns and mid-semester interns