Prompt Engineering In Python, With Gpt, And The Openai Api


Prompt Engineering In Python, With Gpt, And The Openai Api
Prompt Engineering In Python, With Gpt, And The Openai Api
Published 9/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz

Learn to get better answers from LLMs, test the replies, and use the OpenAI Python APi like a pro!

What you’ll learn

Turn ChatGPT into a personalised coach

Use the OpenAI Python API to query Large Language Models (LLMs)

Have multi-turn chats with LLMs via the OpenAI Python API

Iteratively improve your prompts

Become aware of prompt hacking and learn how to mitigate it

Extract numeric values from text data

Test your prompts to make sure that they are robust and reliable

Requirements

Option 1: The first chapter of this course uses ChatGPT to teach you Python. So you don’t need to know Python if you are comfortable with the idea of learning it from ChatGPT.

Option 2: You may wish to try a dedicated Python course first. However, I would try the ChatGPT option first. Strictly speaking, you should be comfortable using Python in Jupyter notebooks. But you can always enrol in an additional Python course on Udemy.

Description

Overview

Section 1: Introduction

Lecture 1 Course Overview and Key Points of Difference

Lecture 2 Introduction

Section 2: ChatGPT as a Personal Coach

Lecture 3 Turning ChatGPT into a Personal Coach

Lecture 4 Where ChatGPT fails

Section 3: Notebook 1: Python API Prompting

Lecture 5 Setting up your OpenAI API Key

Lecture 8 Using GPT 4 and Other Model Versions

Lecture 9 Optional: Implementing Exponential Backoff for Querying the OpenAI API

Lecture 10 Inducing and Mitigating Hallucination in LLMs

Lecture 11 Chain-Of-Thought Prompting – the formal introduction

Section 4: Python API Chat Bot

Lecture 12 Python API Chat Bot

Lecture 13 Prompt Hacking

Lecture 14 Optional: Implementing Exponential Backoff for Multi-Turn Conversations

Section 5: Extracting Numerical Values from Text Data

Lecture 15 Extracting Numerical Values from Text Data, and Testing the Extraction.
People who wish to pursue a career in as a professional Prompt Engineer,People analyse data in a corporate role,People who wish to pursue a career in data analytics, data science, or any other field that analyses data

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