learn-prompting
Prompt engineering course
A comprehensive resource for learning prompt engineering techniques for interacting with large language models.
The most comprehensive prompt engineering course available.
36 stars
2 watching
10 forks
Language: Jupyter Notebook
last commit: over 1 year ago
Linked from 1 awesome list
ailarge-language-modelsprompt-engineeringtext-generation
Related projects:
Repository | Description | Stars |
---|---|---|
| A comprehensive resource for guiding the development and optimization of prompts to use language models effectively in various applications. | 51,082 |
| Provides a guide and framework for designing effective prompts for language models like ChatGPT to generate specific responses. | 2,116 |
| A framework for analyzing the robustness of large language models to adversarial prompt attacks | 318 |
| A comprehensive collection of customizable prompts for Generative Pre-trained Transformers (GPTs) designed specifically for educational use. | 77 |
| Teaches software developers how to build, deploy, and maintain products with machine-learning models. | 385 |
| Pre-training large language models on scientific data for downstream applications | 12 |
| A comprehensive guide to optimizing chatbot responses using prompt engineering techniques | 989 |
| A pre-trained language model for multiple natural language processing tasks with support for few-shot learning and transfer learning. | 656 |
| An extension to Stable Diffusion prompts using text generation with suitable style cues. | 177 |
| An online tutorial and resource for learning prompt engineering, covering topics such as prompt design, ChatGPT, and Midjourney usage. | 5,233 |
| An annotated bibliography on software engineering for AI/ML systems | 306 |
| A platform for sharing and discovering chatbot prompts and their applications. | 1,182 |
| Generates deployable models from natural language instructions | 1,975 |
| A utility library for crafting prompts to help Large Language Models generate specific outputs | 2,602 |
| A guide to help developers understand and mitigate the security risks of prompt injection in AI-powered applications and features. | 376 |