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Home > Data > GPT/LLMs > Prompt Engineering in Python, with GPT, and the OpenAI API [Video]
Prompt Engineering in Python, with GPT, and the OpenAI API [Video]
Prompt Engineering in Python, with GPT, and the OpenAI API [Video]

Prompt Engineering in Python, with GPT, and the OpenAI API: Master Prompt Engineering with Python, GPT, and OpenAI API

Profile Icon Slava Razbash
By Slava Razbash
$79.99
Video Jul 2024 2 hours 2 minutes 1st Edition
Video
$79.99
Subscription
Free Trial
Renews at $19.99p/m
Profile Icon Slava Razbash
By Slava Razbash
$79.99
Video Jul 2024 2 hours 2 minutes 1st Edition
Video
$79.99
Subscription
Free Trial
Renews at $19.99p/m
Video
$79.99
Subscription
Free Trial
Renews at $19.99p/m

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Key benefits

  • Comprehensive exploration of prompt engineering with Python and GPT
  • Step-by-step guide to using the OpenAI API for advanced AI solutions
  • Techniques for iterative prompt improvement and mitigating AI hallucinations

Description

This comprehensive course guides you through the multifaceted world of prompt engineering using Python and the OpenAI API. Starting with an overview of the course, you will understand the key differentiators and the unique advantages this training offers. You'll be introduced to the concept of using ChatGPT as a personal coach, learning to turn this AI into a tailored educational guide. The second section delves into building effective prompts, mitigating hallucinations, and ensuring optimal answers from AI models. You’ll set up your OpenAI API key and embark on a hands-on journey through Python API prompting. This part emphasizes iterative prompt improvement and introduces advanced concepts such as Chain-of-Thought prompting. You'll learn to induce and mitigate hallucinations in language models and apply findings from cutting-edge research papers like EmotionPrompt in practical scenarios. In the final sections, you'll construct a Python API chatbot and explore the nuances of prompt hacking. The course also covers extracting numerical values from text data and testing prompts, pushing GPT 3.5 capabilities closer to GPT 4 through intelligent prompt strategies. By the end of this course, you will have a robust understanding of prompt engineering and be equipped to develop sophisticated AI applications.

What you will learn

  • Master prompt engineering techniques in Python
  • Implement and optimize the OpenAI API for various applications
  • Mitigate hallucinations and enhance AI responses
  • Develop custom AI solutions for personal and professional use
  • Extract and process numerical data from textual information
  • Create and refine custom prompts for various AI tasks

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 30, 2024
Length 2 hours 2 minutes
Edition : 1st Edition
Language : English
ISBN-13 : 9781836640219
Category :
Data
Languages :
Python (Intermediate)
Concepts :
GPT/LLMs
Tools :
ChatGPT (Intermediate)

What do you get with a video?

Product feature icon Download this video in MP4 format
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want

Product Details

Publication date : Jul 30, 2024
Length 2 hours 2 minutes
Edition : 1st Edition
Language : English
ISBN-13 : 9781836640219
Category :
Data
Languages :
Python (Intermediate)
Concepts :
GPT/LLMs
Tools :
ChatGPT (Intermediate)

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Table of Contents

5 Chapters
1. Introduction Chevron down icon Chevron up icon
Course Overview and Key Points of Difference
Introduction
This course gets updated, and your instructor gets "updated"
2. ChatGPT as a Personal Coach Chevron down icon Chevron up icon
Turning ChatGPT into a Personal Coach
How to download course prompts, code, and connect to resources
Coach Prompt Deep Dive
Where ChatGPT fails
Learning Python with Custom GPTs
3. Building up Prompts, Mitigating Hallucination, and Getting the Best Answers Chevron down icon Chevron up icon
Setting up your OpenAI API Key
Learning Outcomes for the First Notebook
Python API Prompting and Iterative Prompt Improvement Part 1
Make sure that your version of the openai package is greater than 1.0.0
Using GPT 4 and Other Model Versions
Iterative Prompting Improvement Part 2
Emphasising an important point
Optional: Implementing Exponential Backoff for Querying the OpenAI API
How we have applied Chain-of-Thought prompting
Chain-Of-Thought Prompting - the formal introduction
Inducing and Mitigating Hallucination in LLMs
EmotionPrompt - Findings from the paper
EmotionPrompt in Practice
4. Python API Chat Bot, and Prompt Hacking Chevron down icon Chevron up icon
Python API Chat Bot
Prompt Hacking
Optional: Implementing Exponential Backoff for Multi-Turn Conversations
5. Extracting Numerical Values from Text Data, Testing your Prompts, and JSON Mode Chevron down icon Chevron up icon
Extracting Numerical Values from Text Data, and Testing the Extraction
JSON Mode, and pushing GPT 3.5 to the level of GPT 4 with smart prompting

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About the author

Profile icon Slava Razbash
LinkedIn icon
Slava Razbash has been a prominent figure in data science since 2011. His extensive career includes positions at the Commonwealth Bank of Australia, Sportsbet (Flutter Entertainment), Tabcorp, Coles, and AGL. Throughout his tenure, Slava has tackled numerous data science and machine learning engineering challenges, continually expanding his expertise with new technologies. Now, on Udemy, Slava brings his wealth of knowledge to guide you through mastering the latest in AI—Large Language Models (LLMs).Join him in a step-by-step journey to harness the power of these cutting-edge tools and elevate your technical skills.
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