Chatgpt Unveiling The Basics, Advancement, Inner Workings

ChatGPT, Transformers,GPT3,Prompt Engineering

What you'll learn

By completing the course, learners will develop a solid grasp of the underlying concepts and techniques that power ChatGPT which helps them to crack interviews

Acquire practical skills for deploying and integrating ChatGPT in real-world NLP applications

How to write efficient prompts(Prompt Engineering) for various NLP tasks

Understand the internal workings and limitations of ChatGPT: Through an in-depth exploration of the inner workings and architecture of ChatGPT

Requirements

Little bit knowledge of ML will help

Description

Welcome to "ChatGPT Unveiling the Basics, Advancement, Inner Workings" In this comprehensive course, you will dive deep into the inner workings of ChatGPT, explore the transformative power of Transformers, and unlock the secrets of effective prompt engineering. Whether you're a developer, data scientist, or AI enthusiast, this course will equip you with the knowledge and skills to harness the full potential of ChatGPT.Throughout this course, you will embark on an exciting journey through the fundamentals and advanced concepts of ChatGPT, gaining a thorough understanding of its architecture, capabilities, and limitations. You will explore the underlying principles of Transformers, the revolutionary models that have revolutionized natural language processing, and discover how they enable ChatGPT to process and generate human-like text.With a strong foundation in place, you will delve into the art of prompt engineering—a critical skill for fine-tuning ChatGPT to perform specific tasks or generate desired responses. You will learn proven techniques for crafting prompts that yield accurate, coherent, and contextually relevant outputs, ensuring that ChatGPT becomes a powerful tool in your AI arsenal.Key Topics Covered:Introduction to ChatGPT: Understanding the fundamentals and key concepts behind ChatGPT, including its architecture, pre-training, and fine-tuning processes.Transformers in Natural Language Processing: Exploring the transformative power of Transformers and their role in language modeling, attention mechanisms, and self-attention.Dive into ChatGPT's Inner Workings: Understanding the internal mechanisms of ChatGPTPrompt Engineering Techniques: Mastering the art of prompt engineering to effectively guide and control the outputs of ChatGPT, including context setting, system messages, and user instructions.

Overview

Section 1: Covering the Basics

Lecture 1 Introduction to AI,ML,DL

Lecture 2 Generative AI vs Discriminative AI

Lecture 3 Large Language Models

Lecture 4 ML Development vs LLM development

Section 2: Transformers Architecture

Lecture 5 Transformers Architecture Explained

Section 3: ChatGPT Architecture

Lecture 6 Pretraining LLM For Completion

Lecture 7 Supervised Fine Tuning of LLM (SFT)

Lecture 8 Reinforcement Learning from Human Feedback (RLHF)

Section 4: Prompt Engineering

Lecture 9 Prompt Engineering with various NLP tasks

Lecture 10 Different Prompt Techniques

Lecture 11 Token Limit

Section 5: Materials

Lecture 12 Course Materials

Data scientists, Machine Learning Engineers, Data Science Managers