Prompt Engineering Overview
Are you interested in learning the basics of prompt engineering and the latest techniques? Join the cohort-based course on Prompt Engineering for LLMs, hosted by Maven and Dair.AI. This course covers the fundamentals of prompt engineering, tools and applications, and provides a conclusion and future directions. With the help of OpenAI, GPT-3, Artificial Intelligence, NLP, ChatGPT, LangChain, and Machine Learning, you will be able to gain a comprehensive understanding of prompt engineering. Enroll now and get started! ▼
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Course Feature
Cost:
Free
Provider:
Youtube
Certificate:
No Information
Language:
English
Start Date:
2023-02-19 00:00:00
Course Overview
❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [July 18th, 2023]
This course provides an overview of Prompt Engineering, covering the basics and the latest techniques. It is designed for LLMs and is delivered in a cohort-based format in partnership with Maven. Enrollment information can be found at https://maven.com/dair-ai/prompt-engi. The course is divided into four parts: Part 1 - Introduction to Prompt Engineering; Part 2 - Advanced Techniques for Prompt Engineering; Part 3 - Tools and Applications; and Part 4 - Conclusion and Future Directions. The course website is https://www.promptingguide.ai/, and the course notebook, slides, and GitHub repository can be found at https://github.com/dair-ai/Prompt-Eng. Participants are also encouraged to join the Discord server at https://discord.gg/SKgkVT8BGJ. Topics covered include #openai #gpt3 #artificialintelligence #nlp #chatgpt #langchain #machinelearning. A correction to Part 2 - Advanced Techniques for Prompt Engineering is that an example for few-shot prompting can be found at https://github.com/dair-ai/Prompt-Eng.
Pros & Cons
Great content: Users appreciate the course for its high-quality and valuable content. They find it beneficial for learning prompting, especially for beginners.
Detailed and helpful presentation: Users find the lecture to be detailed and well-presented, providing them with a clear understanding of prompt engineering. They express gratitude for the effort put into creating the course.
Lack of mention of open source models: One user requests the instructor to mention some open source large language models other than OpenAI models, which can be used for experimentation. This suggests that the course may not cover a wide range of available options.
No specific negative feedback: While the majority of users express their satisfaction with the course, there is no specific negative feedback mentioned in the reviews. This makes it difficult to identify any significant disadvantages or areas for improvement.
Course Provider
Provider Youtube's Stats at AZClass
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