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    Step By Step Guide To Enhance Business With Chatgpt Power

    Posted By: ELK1nG
    Step By Step Guide To Enhance Business With Chatgpt Power

    Step By Step Guide To Enhance Business With Chatgpt Power
    Published 3/2023
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 745.70 MB | Duration: 2h 43m

    Unleash ChatGPT power: Fine-tune GPT model with custom data to bring the power of ChatGPT to your business in few hours

    What you'll learn

    Understand what ChatGPT is and the underlying technology

    Understand what GPT-3 is, Large Language Models and GANs are

    Learn how Open AI tokens are pricing for completions and fine-tuning

    Learn how to fine-tune GPT-3 models with custom data

    Requirements

    No programming experience needed; No Machine Learning or AI experience needed

    If you are en experienced professional, this course will teach you how to quickly get started on customizing the GPT-3 models for your own use cases

    Description

    RequirementsThis course is for all levelsBasic understanding of Machine Learning is useful but not necessaryWhat will you learn?Welcome to the course that will help you unleash the power of ChatGPT! Have you been amazed by ChatGPT's capabilities and wondered how you could use it to improve your business's efficiency, communication, and customer satisfaction? Perhaps your clients have been asking you about ChatGPT, but you don't know where to start. Look no further, as I will guide you through every step of the way.This course will not just teach you how to use ChatGPT, but the underlying technology and how to fine-tune its models to create your custom generative AI model with your data. Don't worry if you're not an expert in programming or machine learning; I'll provide you with all the information you need.You'll learn how to create a data set, format it, fine-tune the model, and access it through an API. Once you've got the hang of it, you'll be able to call the API from anywhere, including a web page, mobile app, or command prompt, and bring some serious value to your business or your client's business.Many companies are already using ChatGPT to their advantage, so don't let your competitors get ahead of you! And the best part? It only takes a few hours to learn and fine-tune the model. All you need is your data set and the willingness to learn.Enroll today, and let's take your business to the next level with ChatGPT!Who is this course for?Entrepreneurs trying to get an advantage over the competitionExisting business managers who wish not to be left behindConsultants advising clients on technologyExperts on Machine Learning but too tied up to do feature engineering and training to get better precision/recallAnyone who is looking to make use of AI and have no training on Machine LearningWhat are the potential use cases? (a few examples to give some ides - there are unlimited number of use cases)Twitter sentiment analysisJira ticket triaging and auto assigning priority and severityChatbot for human like conversationsEmail triaging and auto forwardingUser feedback analysis and auto assignment for further follow-upTime RequirementMost of the above use cases can be achieved in few hours if the data is ready.Note: The course focuses on exposing the final model as an API. The course does not cover how the API is used in mobile or web applications.

    Overview

    Section 1: Introduction

    Lecture 1 Introduction

    Lecture 2 What is ChatGPT?

    Lecture 3 What is GPT-3?

    Lecture 4 What are Language Models?

    Lecture 5 How is GPT-3 different?

    Lecture 6 What are the limitations of GPT-3?

    Lecture 7 Secrets of Successful AI

    Section 2: Introduction to fine-tuning GPT-3

    Lecture 8 Environment Setup Requirements

    Lecture 9 How can I use ChatGPT for my custom use case?

    Lecture 10 What is the algorithm behind GPT-3?

    Lecture 11 What are the different models available for training?

    Lecture 12 What are the available models for different functions?

    Lecture 13 Finding the right models

    Lecture 14 What are Tokens?

    Lecture 15 More on Tokens

    Lecture 16 How much does each of the model training and serving cost?

    Section 3: Environment Setup

    Lecture 17 Install Homebrew

    Lecture 18 Install Python and Pip

    Lecture 19 Create Open AI account

    Lecture 20 Create Open AI API Key

    Lecture 21 Install Open AI tools

    Section 4: Data Preparation

    Lecture 22 Introduction to data preparation

    Lecture 23 Data Formats

    Lecture 24 Data Formatting - Points to Note

    Lecture 25 Data Preparation - Working Example

    Lecture 26 Data Preparation - Best Practices

    Lecture 27 Data Preparation Tool - Working Example

    Section 5: Fine Tuning GPT Models

    Lecture 28 Points to Note for Fine Tuning as Classification Models

    Lecture 29 Fine Tune a model - Working Example

    Lecture 30 Follow status of fine-tuning request - Working Example

    Lecture 31 Parameters: Specify the base model using model flag

    Lecture 32 Other parameters while finetuning

    Lecture 33 Play with Playground

    Section 6: Serving (Inferencing)

    Lecture 34 Introduction to Serving

    Lecture 35 List Fine Tuned Models

    Lecture 36 Submit Inference Request to Fine Tuned Model from CLI

    Lecture 37 Inferencing parameters

    Lecture 38 Submit Inference Request in Postman - Working Example

    Section 7: Tweet Sentiment Analysis

    Lecture 39 Introduction

    Lecture 40 Data Preparation

    Lecture 41 Fine Tuning and Testing

    Lecture 42 Congratulations!

    Learn to fine tune GPT-3 models with custom data and rock the world with your own ChatGPT