ChatGPT Mastery: Expert Prompt Engineering with Chat GPT-4

سرفصل های دوره

Master ChatGPT, Expert Prompt Engineering, Boost Productivity, Explore OpenAI GPT-4 & Generative AI Techniques

1 - Introduction

1 - Introduction

2 - What is a Transformer

3 - The Transformer with a Simple Example

4 - The Transformer Architecture

5 - An Example for Transformer Architecture

6 - Applications of ChatGPT

7 - Evolution of ChatGPT

2 - Mastering the Art of Prompt Engineering Unlock the Power of ChatGPT

8 - Introduction to Prompt Engineering

9 - What is a Prompt

10 - Techniques for Effective Prompt Engineering

11 - OpenEnded Prompts with an Example

12 - Specificity and Clarity

13 - Contextual and Conversational Prompts

14 - Asking for StepbyStep or DebateStyle Answers

15 - Controlling the Length and Format of Responses

16 - Incorporating User Data and Personalization

17 - Managing Potential Biases and Pitfalls

18 - Adapting Prompts for Specific Industries and Applications

3 - Cracking the Code Dive into the World of Transformer Architecture

19 - The Building Blocks of ChatGPT4

20 - Positional Encoding

21 - Self Attention Mechanism Scaled DotProduct Attention and MultiHead Attention

22 - Layer Normalization Residual Connections and FeedForward Neural Networks

23 - Greedy Decoding Beam Searching and Fine Tuning for Conversational AI

24 - Prompt Engineering and Controlling ChatGPTs Behaviour

25 - Strengths and Limitations

4 - Conversational Alchemy Transforming Text with Natural Language Processing NLP

26 - Introduction to NLP Fundamentals

27 - NLP Applications and Tokenization

28 - Stemming and Lemmatization

29 - Part of Speech Tagging

30 - Dependecy Parsing and Named Entity Recognition NER

31 - Coreference Resolution

32 - Sentiment Analysis

33 - Machine Translation and Text Summarization

34 - Language Modeling

35 - NLP Challenges Rulebased VS Statistical NLP

36 - Deep Learning in NLP

37 - ChatGPT and NLP

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تولید کننده: Udemy-Training