LLM Applications
Content overview
This page contains an outline of the topics and content for the course.
Note
This schedule will be updated as the semester progresses.
| Nr | Topic & Deadline | Material | Source |
|---|---|---|---|
| Introduction (10.11.23) | |||
| 1 | Project introduction | 📑 | |
| 2 | Generative AI | 🖥️ Slides | |
| 3 | Large Language Models | 🖥️ Slides | |
| 4 | Programming toolkit lab | 💻 Lab | |
| Use Case Definition (3.11.23) | |||
| 5 | Data Science Lifecycle Overview | 📑 | |
| 6 | Use case identification | 📑 | |
| 7 | Value Creation Optimization | 📑 | |
| Prompt Engineering (8.11.23) | |||
| 8 | Prompt Engineering | 💻 Lab | 📖 |
| 9 | Building a Chat System | 💻 Lab | 📖 |
| LangChain (10.11.23) | |||
| 10 | LangChain Basics | 💻 Lab | 📖 |
| 11 | LangChain RAG | 💻 Lab | 📖 |
| 12 | Functions, Tools and Agents with LangChain | 💻 Lab | 📖 |
| Semantic Kernel (15.11.23) | |||
| 13 | Microsoft Semantic Kernel | 💻 Lab | 📖 |
| HuggingFace (15.11.23) | |||
| 14 | HuggingFace | 💻 Lab | |
| Dashboards (22.11.23) | |||
| 15 | Build Apps with Gradio | 💻 Lab | 📖 |
| 16 | Build Apps with Streamlit | 💻 Lab | |
| 17 | State of Streamlit LLM Apps 2023 | Apps | |
| Assistants API & GPTs | |||
| 18 | First steps with Assistants API | 💻 Lab |