What you’ll learn
Students will learn how to master Prompt Engineering when interacting with AI NLP and ChatGPT to gain a competitive edge in the workplace.
Understand the different types of prompts and their respective uses in conversational AI systems, such as open-ended and closed-ended prompts.
Learn best practices for creating effective prompts that improve user engagement and satisfaction, such as keeping them clear, concise and relevant.
Understand the importance of Named Entity Recognition and its role in identifying and extracting important information from text
This course is Β geared towards anyone who is interested in acquiring high level understanding of the fundamental concepts and principles that underlie Artificial Intelligence and Prompt Engineering including an exploration of the underlying language models and the ability to apply this knowledge to design, develop, and implement cutting-edge solutions for natural language understanding, generation, and communication in a wide range of industry and or Β academic settings. This includes a strong emphasis Β the practical application of this knowledge through , real-world case studies and research-based lectures. The course is designed to empower the learner to be able to efficiently , develop prompt engineering and NLP based solutions to real-world problems. The topics covered will serve as a fundamental pillar for fine-tuning language models for years to come. This is course by Udemy Instructor Matthew Bloss discusses Prompt Engineering and provides insight on how AI can be used by anyone.
Here is a list of topics:
What is AI?
What is NLP?
Natural Language Processing basics
Text Pre-processing techniques
Named Entity Recognition
Sentiment Analysis
Text summarization
Introduction to Prompt Engineering
Types of prompts
Best practices for creating prompts
Evaluating prompt quality
The impact of prompts on conversational AI
Contextualization
Personalization
Relevance
Clarity
Consistency
Fine Tuning
Industry examples of successful prompts
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Product Details: http://bit.ly/3Zh30dE
File size: 310MB
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| Weight | 1 kg |
|---|---|
| Dimensions | 1 × 1 × 1 cm |
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