https://github.com/dcs-training/prompt-tips-genai
This is the Efficient Prompting for Generative AI Tools training course material repository.
https://github.com/dcs-training/prompt-tips-genai
ai good-practices-digital-research large-language-model
Last synced: 2 months ago
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This is the Efficient Prompting for Generative AI Tools training course material repository.
- Host: GitHub
- URL: https://github.com/dcs-training/prompt-tips-genai
- Owner: DCS-training
- License: other
- Created: 2024-01-14T18:30:55.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-11-13T17:57:12.000Z (7 months ago)
- Last Synced: 2025-03-28T09:05:08.050Z (3 months ago)
- Topics: ai, good-practices-digital-research, large-language-model
- Language: Jupyter Notebook
- Homepage: https://dcs-training.github.io/Prompt-Tips-GenAI/Prompting_GENAI.html
- Size: 8.18 MB
- Stars: 5
- Watchers: 0
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: License.md
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README
# Prompt-Tips-GenAI
This is the Efficient Prompting for Generative AI Tools training course material repository
Check out training course slides: [Efficient Prompting Training](https://dcs-training.github.io/Prompt-Tips-GenAI/Prompting_GENAI.html)
## General Structure
Course is designed for giving a general understanding of the efficient use of Gen-AI tools focusing on the importance of Prompting (Prompt Engineering). Starting with a brief introduction of Gen-AI tools for practical reasons, different prompt strategies will be discussed by doing some interactive examples. The content of the workshop will cover the concepts of ‘Introduction to Gen-AI tools’, ‘Prompt Engineering’, ‘Prompt formulation’ and ‘Effective Prompting’. Additionally, certain plug-ins in ChatGPT with Data Analytics feature will be explored with good prompt practices. Course is aimed to be delivered in a 2-hour session with certain hands-on components and interactions with audience.
## Main Course sources
Course slides are prepared as a mixture of different related sources but mainly focusing on the followings;
[Prompt engineering by OpenAI](https://platform.openai.com/docs/guides/prompt-engineering)
[Prompt Engineering Guide](https://www.promptingguide.ai/)
### Acknowledgements
Further thanks for inspiring people including but not limited to [Andrew NG](https://www.andrewng.org/), [Sebastian Raschka](https://sebastianraschka.com/).
## Related keywords
*Generative Artificial Intelligence (Gen-AI)*, *Large Language Models (LLMs)*, *ChatGPT*
---
### Part 1: Introduction to Gen-AI and Prompt Engineering
- Welcome and Overview
- What are Gen-AI Tools or LLMs?
- Importance of LLM Settings
- Basics and elements of Prompting.
- Key Components of Prompt Engineering
### Short Break
### Part 2: Techniques in Prompt Engineering
- General Tips for Designing Prompts
- Strategies for Effective Prompting
- Group hands-on: Prompt Formulation Practice
- Techniques in Advanced Prompt Formulation
### Part 3: Exploring ChatGPT with Data Analytics
- Brief Introduction to ChatGPT Plugins for Data Analytics
### Closing
- Feedback and Closing Remarks
---
## Additional Notes
- Hands-on components are included in various parts of the session.
- The agenda is subject to slight modifications to better suit the pace and interaction level of participants.
- **User Preferences on Related Tools:**
* The course will include demonstrations and use cases involving popular LLMs such as ChatGPT or its competitors. For the participants who are not able to use recent version of ChatGPT, there will be open-source platform suggestions to use
* Disclaimer: Different tools can require different prompt strategies in general!