Prompt Engineering for Improved Performance from Pluralsight

Learn advanced prompt engineering techniques to enhance language model performance. Explore optimization techniques and gain insights into factors affecting latency and performance. Guide models to generate accurate, coherent, and relevant outputs.

Advanced prompt engineering techniques can significantly enhance the performance of language models by guiding them to generate more accurate, coherent, and relevant outputs. In this course, Prompt Engineering for Improved Performance, you’ll gain the ability to harness the capabilities of language models effectively, ensuring they align with specific use cases, minimize biases, and deliver high-quality outputs.

First, you’ll journey beyond the realm of basic prompting techniques and learn how to leverage advanced prompting methods that elevate a model's performance on reasoning tasks.

Next, you’ll discover the art of prompt optimization for specific use cases by diving into optimization techniques for summarizing and expanding text, text-to-image generation, inferring sentiment, and transforming text from one format to another.

Finally, you’ll gain insights into the key factors that impact the latency and performance of text generation models and explore mitigation techniques to improve performance.

When you finish this course, you’ll have the knowledge of advanced prompt engineering techniques needed to harness the capabilities of language models effectively, ensuring they align with specific use cases, minimize biases, and deliver high-quality outputs.

What's inside

Syllabus

Course Overview

Prompting at a Glance

Master Advanced Prompting Techniques

Optimize Prompts for Specific Use Cases

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Develops advanced prompt engineering skills, which are increasingly employed across business and industry

Taught by Kesha Williams, an experienced instructor in prompt engineering

Provides techniques to optimize prompts for specific tasks, enhancing the performance of AI models

Helps learners understand factors affecting latency and performance, enabling informed decisions for more efficient model deployment

Requires a good understanding of basic prompting techniques and natural language processing concepts, making it suitable for intermediate learners

Focuses on advanced prompt engineering techniques and may not cover foundational concepts in great detail

Reviews summary

Advanced prompt engineering for llm performance

According to students, this course is a highly impactful resource for advanced prompt engineering, particularly for professionals seeking to optimize language model performance. Learners frequently praise its practical strategies and real-world applicability, especially in guiding models for specific use cases like summarization and sentiment analysis. The course excels in providing clear explanations of complex concepts and offers valuable insights into latency and performance factors. While it's lauded for enhancing understanding beyond basic prompting, some learners note it may be too fast-paced for absolute beginners and could benefit from more diverse coding challenges or case studies for deeper practical engagement.

Valuable insights into latency and model performance.

"I particularly appreciated the practical examples and the section on understanding latency."

"The modules on latency and performance factors were unique and very helpful."

"I liked the focus on performance aspects and latency reduction, which isn't always covered."

Complex concepts are explained clearly and effectively.

"The instructor breaks down complex concepts into digestible modules."

"The explanations were clear, and the content was well-organized."

"The instructor's ability to explain complex reasoning tasks was superb."

Covers advanced methods and specific use case optimization.

"The content on advanced prompt techniques like chain-of-thought and tree-of-thought was incredibly insightful."

"The focus on optimization for specific use cases like text summarization and sentiment analysis was extremely valuable."

"It definitely elevated my understanding beyond basic prompting."

Techniques are directly applicable for LLM optimization.

"It immediately improved the performance of models I'm working with. Highly recommend for engineers and developers."

"As a data scientist, this course provided the practical strategies I needed to improve my prompt effectiveness."

"The emphasis on real-world applicability is its major strength."

Concerns about content currency and community support.

"I felt the content was outdated in some areas given the rapid pace of AI development."

"Also, the support forum was inactive, making it hard to get questions answered."

Some desire more hands-on coding or detailed case studies.

"I was hoping for more coding exercises or larger projects."

"I would have loved even more diverse case studies."

"A bit more interactive coding challenges would have made it even better."

Not for beginners; fast-paced and assumes LLM basics.

"This is not for absolute beginners, but perfect if you have some LLM basics."

"I found this course to be too advanced for my current level... The pace was very fast."

"Not suitable for those just starting out."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Prompt Engineering for Improved Performance with these activities:

Brush up on background knowledge

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Reinforce your understanding of core concepts in prompt engineering to prepare for more advanced techniques covered in the course.

Browse courses on Prompt Engineering

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Review the course syllabus and identify key concepts.
Read introductory articles or blog posts on prompt engineering.
Complete practice exercises or tutorials on basic prompt engineering techniques.

Seek guidance from experienced prompt engineers

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Accelerate your learning by connecting with experienced prompt engineers who can provide valuable insights and support.

Browse courses on Mentorship

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Identify potential mentors through online platforms or industry events.
Reach out and introduce yourself, expressing your interest in their expertise.
Schedule regular meetings or calls to receive guidance and feedback.

Explore State-of-the-Art Prompt Engineering Techniques

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Stay up-to-date with cutting-edge research and advancements in prompt engineering to improve your model performance.

Browse courses on Prompt Engineering

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Identify reputable sources for prompt engineering research (e.g., conference papers, journals).
Review and analyze recent advancements in prompt engineering techniques.
Experiment with implementing these techniques in your own projects.

Eight other activities

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Explore advanced prompt engineering methods

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Delve deeper into advanced prompt engineering techniques and their applications in various scenarios.

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Identify specific use cases or tasks you want to improve.
Research and compare different advanced prompt engineering methods.
Follow online tutorials or workshops to learn how to implement these methods.
Experiment with different prompts and techniques to optimize performance.

Prompt Model Development in Practice

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Develop practical proficiency in prompt model development to enhance your understanding and application of advanced prompting techniques.

Browse courses on Prompt Engineering

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Select a specific NLP task (e.g., summarization, text generation).
Craft a set of prompts based on advanced prompting methods (e.g., prefix tuning, in-context learning).
Train and evaluate a language model using your prompts.
Analyze the performance of your model and iterate on your prompts as needed.

Share your knowledge and assist fellow learners

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Enhance your understanding of the course material while helping others by answering questions or providing guidance.

Browse courses on Mentorship

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Join online forums or communities related to prompt engineering.
Offer assistance to other learners who may be struggling with concepts.
Share your insights and experiences to foster a collaborative learning environment.

Apply prompt engineering to real-world scenarios

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Put your prompt engineering skills to the test by applying them to real-world tasks and challenges.

Browse courses on Text Summarization

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Choose a specific use case or task to focus on.
Prepare a dataset or gather relevant materials.
Experiment with different prompts and techniques to achieve desired outputs.
Analyze and evaluate the results of your experiments.
Refine and optimize your prompts based on your findings.

Create a Comprehensive Guide to Prompt Engineering Best Practices

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Synthesize your knowledge and understanding of prompt engineering by creating a resource that benefits the broader learning community.

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Research and compile best practices for prompt engineering from various sources.
Organize and structure the information into a comprehensive guide.
Write clear and concise instructions, providing examples and explanations.
Publish your guide on a relevant platform (e.g., Medium, GitHub).

Attend workshops and conferences focused on prompt engineering

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Stay up-to-date with the latest advancements and best practices in prompt engineering by participating in industry events.

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Research upcoming workshops and conferences related to prompt engineering.
Register for events that align with your interests and learning goals.
Attend sessions, engage in discussions, and network with experts.

Build a portfolio showcasing your prompt engineering skills

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Create a collection of projects and examples that demonstrate your proficiency in prompt engineering and its applications.

Browse courses on Portfolio Development

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Identify the types of projects or examples you want to include.
Gather and organize relevant materials.
Develop or refine your prompts to achieve desired outputs.
Document your process, techniques, and results.
Present your portfolio to potential employers or clients.

Contribute to open-source projects related to prompt engineering

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Deepen your understanding by collaborating on open-source projects and enhancing existing prompt engineering tools and resources.

Browse courses on Collaborative Development

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Identify open-source projects that align with your interests.
Join online communities and forums to connect with project contributors.
Review project documentation and codebase to understand its functionality.
Suggest improvements, report bugs, or contribute code to the project.

Career center

Learners who complete Prompt Engineering for Improved Performance will develop knowledge and skills that may be useful to these careers:

Language Model Engineer

Language Model Engineers specialize in developing and maintaining language models, the underlying technology that powers many applications such as chatbots, automated customer service, and machine translation. Advanced Prompt Engineering techniques improve the accuracy and performance of language models, making this course an important step for Engineers seeking to advance their abilities within this role.

See salaries and explore the career path for Language Model Engineer

Natural Language Processing Scientist

Natural Language Processing (NLP) Scientists apply their knowledge of computational linguistics and machine learning to enable computers to understand and generate human language. Advanced Prompt Engineering techniques help NLP Scientists to extract meaning from text and generate more natural-sounding language, enhancing the performance of NLP applications.

See salaries and explore the career path for Natural Language Processing Scientist

Machine Learning Engineer

Machine Learning Engineers build, deploy, and maintain machine learning models. Prompt Engineering is an essential technique in machine learning, as it allows Engineers to fine-tune models and improve their performance. This course can help Machine Learning Engineers to develop the skills they need to succeed in this role.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists use data to solve business problems. Advanced Prompt Engineering techniques can help Data Scientists to extract insights from text data, which is often unstructured and difficult to analyze. This course can help Data Scientists to improve the accuracy and efficiency of their work.

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Computational Linguist

Computational Linguists study the relationship between language and computation. Advanced Prompt Engineering techniques are based on computational linguistics, and this course can help Computational Linguists to develop the skills they need to build and evaluate language models.

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Technical Writer

Technical Writers create documentation and other materials that explain complex technical information. Advanced Prompt Engineering techniques can help Technical Writers to improve the clarity and accuracy of their writing, making it easier for readers to understand technical concepts.

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Content Writer

Content Writers create content for websites, blogs, and other online platforms. Advanced Prompt Engineering techniques can help Content Writers to create more engaging and informative content, which can help to attract and retain readers.

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Editor

Editors review, edit, and proofread written content. Advanced Prompt Engineering techniques can help Editors to improve the quality and consistency of their work, making it easier to produce high-quality written content.

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User Experience (UX) Designer

UX Designers create user interfaces that are easy to use and understand. Advanced Prompt Engineering techniques can help UX Designers to gather feedback from users and improve the usability of their designs.

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Product Manager

Product Managers develop and manage products. Advanced Prompt Engineering techniques can help Product Managers to gather feedback from users and improve the quality of their products.

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Marketing Manager

Marketing Managers develop and execute marketing campaigns. Advanced Prompt Engineering techniques can help Marketing Managers to create more effective marketing campaigns, which can help to attract and retain customers.

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Sales Manager

Sales Managers develop and execute sales strategies. Advanced Prompt Engineering techniques can help Sales Managers to identify and qualify leads, close deals, and manage customer relationships.

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Customer Success Manager

Customer Success Managers help customers to achieve success with a product or service. Advanced Prompt Engineering techniques can help Customer Success Managers to identify and resolve customer issues, and to build strong customer relationships.

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Project Manager

Project Managers plan and execute projects. Advanced Prompt Engineering techniques can help Project Managers to gather feedback from stakeholders and improve the quality of their projects.

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Operations Manager

Operations Managers oversee the day-to-day operations of a business. Advanced Prompt Engineering techniques can help Operations Managers to identify and resolve operational issues, and to improve the efficiency of their operations.

See salaries and explore the career path for Operations Manager