Prompt Engineering for Large Language Models
Data Think Labs
6 modules
English and Telugu
Lifetime access
Master the art of prompt engineering for improved language model performance.
Overview
This course explores the principles and techniques of prompt engineering for large language models. You will learn how to effectively craft prompts that elicit desired responses and improve the performance of language models. The course covers various strategies for prompt design and optimization, including prompt engineering for open-ended tasks, fine-tuning prompts, and prompt tuning. By the end of the course, you will have a solid understanding of prompt engineering and be able to apply these skills in your own work with large language models.
Key Highlights
Principles of prompt engineering
Effective prompt design strategies
Optimizing prompts for desired responses
Prompt engineering for open-ended tasks
Fine-tuning prompts
Prompt tuning techniques
What you will learn
Learn to design effective prompts
Understand the principles and techniques of creating prompts that elicit the desired responses from large language models.
Optimize prompts for desired outcomes
Explore various strategies and methods to optimize prompts for specific responses and improve the performance of language models.
Engineer prompts for open-ended tasks
Discover how to create prompts for tasks with no specific answer, such as story generation or creative writing, and guide the language model's output.
Fine-tune prompts for better performance
Learn the process of refining prompts through fine-tuning techniques to achieve more accurate and context-aware responses.
Master prompt tuning techniques
Gain expertise in the art of prompt tuning, including adjusting prompts to achieve better control and bias handling with language models.
Modules
Introduction to Prompt Engineering
4 attachments
Understanding the role of prompts in language models
Coming Soon
Exploring the impact of prompt design on model performance
Coming Soon
Overview of common prompt engineering techniques
Coming Soon
Case studies on effective prompt engineering
Coming Soon
Advanced Prompt Design Methods
5 attachments
Fine-tuning prompts for specific tasks
Coming Soon
Crafting prompts for sentiment analysis
Coming Soon
Optimizing prompts for question generation
Coming Soon
Creating prompts for language translation
Coming Soon
Theoretical frameworks for prompt design
Coming Soon
Data Generation for Language Models
5 attachments
Generating diverse and relevant training data
Coming Soon
Annotation methods for prompt-specific data
Coming Soon
Using data augmentation techniques
Coming Soon
Ethical considerations in data generation
Coming Soon
Practical guide to data collection
Coming Soon
Evaluating and Iterating Prompts
5 attachments
Quantitative metrics for prompt evaluation
Coming Soon
Qualitative analysis of prompt effectiveness
Coming Soon
A/B testing and iterative prompt refinement
Coming Soon
Measuring prompt bias and fairness
Coming Soon
Feedback loops for continuous improvement of prompts
Coming Soon
Leveraging Pre-trained Language Models
5 attachments
Overview of popular large language models
Coming Soon
Fine-tuning strategies for prompt engineering
Coming Soon
Analyzing model responsiveness to prompts
Coming Soon
Mitigating risks and limitations of pre-trained models
Coming Soon
Using transfer learning for prompt optimization
Coming Soon
Applications of Prompt Engineering
5 attachments
Natural language understanding tasks
Coming Soon
Text generation and creative writing applications
Coming Soon
Information retrieval with prompt-based queries
Coming Soon
Enhancing conversational agents with prompts
Coming Soon
Customizing language models for specific domains
Coming Soon
FAQs
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Can I interact with the instructor during the course?
Absolutely! we are committed to providing an engaging and interactive learning experience. You will have opportunities to interact with them through our community. Take full advantage to enhance your understanding and gain insights directly from the expert.
About the creator
Data Think Labs
We at Data Think Labs are a collective of trainers, educationalists, technologists and entrepreneurs from IIT and BITS Pilani tracking the fast changing demands of the software industry to train the next generation of developers to be ethically conscious, confident and independent. We have already trained thousands of students in courses which are designed to cater to industry requirements, thus enabling students carve a great career for themselves.
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