Explore the fundamentals of ChatGPT’s architecture, focusing on transformers, tokenization, and self-attention mechanisms. Learners will understand the evolution from GPT-1 to GPT-4, covering core components and training methods like pre-training, fine-tuning, and reinforcement learning from human feedback (RLHF), highlighting the advancements that revolutionized Natural Language Processing (NLP).

Introduction

Advancements of transformer architecture

Options

RNNs

Transformers

Features of RNNs versus transformers

Tokenization and Transformers

The role of decoders

Encoding

Decoding

Encoding versus Decoding

GPT models and training LLMs

Generative

Pretrained

Transformer

Components of the GPT Model

ChatGPT

Exploring fine-tuning

Understanding GPT Model Architecture

Elevate your prompt crafting skills, focusing on advanced techniques for precision and creativity. Learners will practice negotiation scenarios using XML tags for clarity, enhancing their negotiation skills for seeking a raise. They will also explore methods for generating startup ideas with few-shot prompting and thinking tags. By the end, learners will craft high-quality, effective prompts for diverse applications.

Negotiating with an FBI agent

XML basics

Negotiate a raise

Powerful storytelling

Structuring a story with the PAIPS framework

Content creation with the PFS principle

Finding your next big idea

Using thinking tags

Prompts for startup success

Prompt power

Advanced prompt crafting

Explore the advanced functions of ChatGPT, starting with custom instructions to personalize interactions. Learners will explore the enhanced flexibility of building and deploying Custom GPTs for tailored solutions across various use cases. Finally, the chapter examines the future trajectory of ChatGPT, including potential advancements and ethical considerations in AI development as we progress towards artificial general intelligence (AGI).

Custom instructions

Benefits of custom instructions

Crafting effective custom instructions

Building and deploying custom GPTs

Custom GPTs versus Custom Instructions

Configuring "EcoGuide"

The future of ChatGPT

Advanced Functions of ChatGPT

Elevate your ChatGPT expertise with 'Intermediate ChatGPT.' Designed for learners with a basic familiarity with ChatGPT and AI, this course simplifies complex concepts into understandable insights. It's perfect for those looking to deepen their knowledge without the technical minutiae. From exploring the architecture behind GPT models to mastering advanced prompt crafting and beyond, this course bridges the gap between introductory skills and advanced application, empowering you to unlock the full potential of ChatGPT for creative exploration.

<h2>Intermediate ChatGPT</h2>
As AI rapidly reshapes industries, mastering ChatGPT is essential for staying competitive and elevating your professional skills. This course is designed for individuals who are familiar with basic ChatGPT functionalities and wish to deepen their understanding and application of advanced techniques.
<br><br> 
<h2>Mastering GPT Model Architecture</h2>
Explore the evolution of large language models, understanding transformers, tokenization, and self-attention mechanisms. Learn about advancements from GPT-1 to GPT-4 and how these models are trained with pre-training, fine-tuning, and reinforcement learning from human feedback (RLHF).
<br><br> 
<h2>Advanced Prompt Crafting Techniques</h2>
Enhance your prompt crafting skills with advanced techniques. Practice negotiation scenarios using XML tags and improve your negotiation skills for seeking a raise. Learn to generate startup ideas with few-shot prompting and thinking tags, effectively communicating complex concepts and developing business strategies.
<br><br> 
<h2>Achieve Advanced Proficiency</h2>
Unlock ChatGPT's full potential by setting up custom instructions, creating personalized assistants, and deploying Custom GPTs. Explore future advancements and ethical considerations in AI development. By course end, you'll have a deep understanding of ChatGPT’s architecture, advanced prompt crafting skills, and the ability to create and optimize Custom GPTs for various applications, enhancing your professional capabilities.


Understanding Prompt Engineering

Understanding ChatGPT

Learn the architecture behind GPT models and master advanced prompt crafting to unlock ChatGPT's full potential.

Intermediate ChatGPT

Fundamentos de OOP

The model can produce coherent text in response to a prompt

Generates new text based on learned patterns from training data.

The model is trained on a large amount of text data before fine-tuning for specific tasks

Allows the model to learn faster and achieve better results than training from scratch

Uses self-attention to process input sequences without sequence alignment

A type of neural network that effectively processes long text sequences

Components of the GPT Model

Intermediate ChatGPT

Ejercicio interactivo práctico