
| Course Code | : YZO108 |
| Course Type | : Area Elective |
| Couse Group | : Short Cycle (Associate's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 1 |
| Prt. | : 1 |
| Credit | : 2 |
| Lab | : 0 |
| ECTS | : 4 |
The aim of the course is to explain what LLMs are, how they work, the different types of LLMs with examples, and their advantages.
History of large language models, their origins, advancements in machine learning, their uses and advantages
| 1. | Knows the origin of large language models (LLM). |
| 2. | Understands the types of major language models. |
| 3. | Knows how major language models work. |
| 4. | Understands the usage areas of different LLMs. |
| 5. | Understands the impact of artificial intelligence on language and creativity. |
| 1. | Generative Artificial Intelligence and Large Language Models (LLM) Murat Topaloğlu CRITERIA PRINTING PUBLICATION DISTRIBUTION |
| Type of Assessment | Count | Percent |
|---|---|---|
| Assignment | 1 | %10 |
| Quiz | 1 | %10 |
| Midterm Examination | 1 | %20 |
| Final Examination | 1 | %60 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 0 | 1 | 14 |
| Lecture - Practice | 14 | 0 | 1 | 14 |
| Assignment | 1 | 16 | 1 | 17 |
| Quiz | 1 | 16 | 1 | 17 |
| Midterm Examination | 1 | 16 | 1 | 17 |
| Final Examination | 1 | 20 | 1 | 21 |
| TOTAL WORKLOAD (hours) | 100 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | PÇ-11 | PÇ-12 | |
OÇ-1 | 5 | 5 | 5 | 4 | 5 | 4 | 5 | 4 | 5 | 4 | 5 | 4 |
OÇ-2 | 5 | 5 | 4 | 5 | 4 | 5 | 4 | 5 | 4 | 4 | 5 | 4 |
OÇ-3 | 4 | 5 | 5 | 5 | 4 | 5 | 4 | 5 | 5 | 4 | 5 | 4 |
OÇ-4 | 5 | 5 | 5 | 4 | 5 | 4 | 5 | 4 | 5 | 4 | 5 | 4 |
OÇ-5 | 4 | 5 | 4 | 5 | 5 | 5 | 5 | 5 | 5 | 4 | 5 | 4 |