Pluralsight – Prompt Engineering for Improved Performance 2023-8

Prompt Engineering for Improved Performance course. In this course, you will learn advanced prompt engineering techniques that significantly increase the ability of language models to produce accurate, consistent, and relevant output. This course will help you gain more effective control over language models and adapt them to your specific use cases, minimize bias, and produce high-quality outputs.

By taking this course, you’ll move beyond basic prompting techniques and learn advanced techniques that improve the model’s performance on reasoning tasks. You’ll also discover the art of optimizing prompts for specific use cases. This optimization includes techniques for summarizing and expanding text, generating images from text, inferring sentiments, and converting text from one format to another. Finally, you will learn about the key factors that affect the latency and performance of text generation models and explore techniques to reduce this latency to improve performance. By the end of this course, you will have the knowledge to use advanced prompt engineering techniques to effectively leverage the capabilities of language models, align them with your specific use cases, minimize bias, and optimize the outputs. Produce quality.

What you will learn:

• Advanced prompt engineering techniques
• Optimizing the prompt for specific use cases
• Reducing latency and improving the performance of text generation models

This course is suitable for people who:

• Looking to improve the performance of their language models.
• They want to use language models for specific tasks.
• Interested in reducing bias in language models.