Published 1/2023
Created by Matthew Bloss
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 13 Lectures ( 34m ) | Size: 296 MB
How to interact proficiently with ChatGPT by understanding Prompt engineering fine tuning and NLP
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
Requirements
A desire to learn about how to manipulate AI effectively
Professionals who want to gain a competitive edge in the workplace.
Description
This course is 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 academic settings. This includes a strong emphasis 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 basicsText Pre-processing techniquesNamed Entity RecognitionSentiment AnalysisText summarization Introduction to Prompt EngineeringTypes of prompts Best practices for creating prompts Evaluating prompt qualityThe impact of prompts on conversational AIContextualizationPersonalizationRelevanceClarity ConsistencyFine TuningIndustry examples of successful prompts******Some material in this course was generated by the author with GPT-3, OpenAI’s large-scale language-generation model. Upon generating draft language, the author reviewed, edited, and revised the language to their own liking and takes ultimate responsibility for the content of this publication.
Who this course is for
Everyone
From beginners to Intermediate users
People who are curious about and and paractical uses
Content Creators
Influencers
Marketers
Homepage
www.udemy.com/course/master-prompt-engineering-with-chatgpt/
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