Exploiting generative artificial intelligence (4cr)
Course unit code: KL00DX67
General information
- Credits
- 4 cr
- Teaching language
- Finnish
- Responsible person
- Jyri Lehto
Objective
Student can explain the principles of language models (LLM) and is able to apply them in practical tasks, also programmatically. Student can install LLM locally or on a private cloud. Student can fine-tune LLM and apply Retrieval-Augmented Generation (RAG) techniques.
Content
- Using the large language model (LLM) programmatically
- Exploiting a locally installed language model
- Exploring cloud-based solutions
- Language model fine-tuning and Retrieval-Augmented Generation (RAG)
Assessment criteria, satisfactory (1)
Student can explain the principles of language models (LLM) and is able to apply them in practical tasks, also programmatically. Student can install LLM locally or on a private cloud.
Assessment criteria, good (3)
Student can explain the principles of language models (LLM) and is able to apply them in practical tasks, also programmatically. Student can install LLM locally or on a private cloud. Student can fine-tune LLM and apply Retrieval-Augmented Generation (RAG) techniques.
Assessment criteria, excellent (5)
Student can explain the principles of language models (LLM) and is able to apply them in practical tasks, also programmatically. Student can install LLM locally or on a private cloud. Student can fine-tune LLM and apply Retrieval-Augmented Generation (RAG) techniques. Student understands how fine-tuning improves the performance of the model.