Table of Contents

Every entry in every series, listed for quick navigation.

I share new AI news and deep ideas. I also share guides and lessons. My goal is to give all AI Disruption readers a full resource. This helps them understand how AI is changing the world.

AI Disruption is about artificial intelligence. We give the latest news and trends in AI. We share new tech too. If you like AI, work with AI, or want to learn AI, our writings give valuable info.

GPT Introduction

Future Trends of GPT in the Next X Years (GPT Introduction Part 1)

From Simple to Complex: GPT - From Answers to Solutions (GPT Introduction Part 2rs

Don't Know? Ask: Let GPT Teach You How to Use GPT(GPT Introduction Part 3)

5 Steps to Mastering AI Communication(GPT Introduction Part 4)

3 Steps to Create the Perfect AI Persona(GPT Introduction Part 5)

GPT and Negation: Unveiling AI Control Logic(GPT Introduction Part 6)

Unlocking the Core Features of GPT Smart Input Method(GPT Introduction Part 7)

Organizing AI Art Materials(GPT Introduction Part 8)

Intelligent Prompting, Instantly Become a Professional Artist (GPT Introduction Part 9)

10 Articles on GPT Introduction: A Journey of 30,000 Words in 3 Weeks (GPT Introduction Part 10)

Development of large model applications

In the Era of Large Model Applications, Everyone Can Be a Programmer (Development of large model applications 1)

Order Management Using OpenAI Assistants' Functions(Development of large model applications 2)

Thread and Run State Analysis in OpenAI Assistants(Development of large model applications 3)

Using Code Interpreter in Assistants for Data Analysis(Development of large model applications 4)

Using the File Search (RAG) Tool in Assistants for Knowledge Retrieval(Development of large model applications 5)

5 Essential Prompt Engineering Tips for AI Model Mastery(Development of large model applications 6)

5 Frameworks to Guide Better Reasoning in Models (Development of Large Model Applications 7)

Using Multi-Step Prompts to Automatically Generate Python Unit Test Code (Development of Large Model Applications 8)

Using Large Models for Natural Language SQL Queries(Development of Large Model Applications 9)

Building a PDF-Based RAG System with Image Recognition (Development of Large Model Applications 10)

Building a Keyword-Based Recommendation System Using Embeddings(Development of Large Model Applications 11)

Strategies for Summarizing and Evaluating Long PDF Documents(Development of Large Model Applications 12)

Generating Business Report PPTs with Assistants' Independent Thinking(Development of Large Model Applications 13)

Explaining Parameter-Efficient Fine-Tuning (PEFT) Using Qwen as an Example(Development of Large Model Applications 14)

A Detailed Guide to QLoRA Quantization and Fine-Tuning Using Llama 3(Development of Large Model Applications 15)

OpenAI Closed-Source Model Fine-Tuning Process and Function Calling Fine-Tuning(Development of Large Model Applications 16)

Multimodal: Integrating Large Language Models with Dall-E/Stable Diffusion API(Development of Large Model Applications 17)

GPT-4o: The Ultimate Multimodal Model in Action(Development of Large Model Applications 18)

Using Large Language Models for TTS/ASR/OCR(Development of Large Model Applications 19)

OpenAI Moderation API: Ensuring Safety in Generated Content(Development of Large Model Applications 20)

Error Handling and Tracing in LLM Development(Development of Large Model Applications 21)

Slash OpenAI API Costs with These Simple Tricks(Development of Large Model Applications 22)

Revisiting Large Model Application Development(Development of Large Model Applications 23)

Practical Application of AI Large Language Model Systems

6 Open Source Tools to Build Your Own AI Model Foundation

Mastering AI: A Guide to Industrial-Grade Large Model Systems

Strategy Modeling: Transform Your AI Systems

Unlock the Power of LLMs Without the Cloud: Your Ultimate Guide to Ollama

Mastering Llama 3.1: Comprehensive Guide to Easy Local Deployment and Remote Usage

To Understand Large Model Source Code, Machine Learning Principles at the Core (Part 1)

To Understand Large Model Source Code, Machine Learning Principles at the Core (Part 2)

RNN in Classic Algorithms: A Must-Know for Developers

9 Key Papers on Sora: The AI Model Revolutionizing Video Creation

The Basic Concepts You Need to Know About Natural Language Processing

Understanding Word2Vec: Unveiling the Mysteries of Word Embedding Generation

Understanding Seq2Seq in Depth: Let's Explore How Language Translation Works

The Principles of Transformer Technology: The Foundation of Large Model Architectures (Part 1)

The Principles of Transformer Technology: The Foundation of Large Model Architectures (Part 2)

Building a 100M Parameter Transformer Model from Scratch

Model Dissection: Exploring the Inside of a Model

Pre-Training Large Models: How Pre-Training Makes Models Smarter

Deep Dive into DeepSpeed: Enhancing Large Model Training Efficiency

Aligning with Human Intentions for Higher Emotional Intelligence in Models

Model Evaluation: How to Assess the Performance of Large Models?

Optimizing Models for Low-Configuration Devices

Discover the Secrets Behind AI's Long Context Capabilities

Revolutionize Your Workflow with AI: Invoice Processing Simplified

How to Build an Enterprise-Grade AI Middle Platform: Solutions for High Data Security Needs

Mamba vs. Transformer: The New AI Model Challenging the Status Quo

How Large AI Models Are Revolutionizing Humanoid Robots

AI + Drones: Revolutionizing the Field of Intelligent Flight

The Next Stage of AI Development: What is Q-Star (*)?

AI Painting Creation Intro Course

Before You Start AI Painting: AI Painting Portfolio(AI Painting Creation Intro Course 1)

WebUI: N Key Drawing Features of a Free AI Painting Toolbox(AI Painting Creation Intro Course 2)

Exploring Image-to-Image Techniques and Creative Communities(AI Painting Creation Intro Course 3)

Create Your Own Comic Story with LoRA(AI Painting Creation Intro Course 4)

Before Diffusion Models: The Untold Story of GANs in AI Art(AI Painting Creation Intro Course 5)

5 Key Differences Between GANs and Diffusion Models: What You Need to Know Now(AI Painting Creation Intro Course 6)

How Multi-Head Attention Transforms AI: The Crucial Details(AI Painting Creation Intro Course 7)

The Key Noise Prediction Module in Diffusion Models Relies on UNet(AI Painting Creation Intro Course 8)

Top 4 Samplers for AI Art: Which One is Best for Your Creations? (AI Painting Creation Intro Course 9)

CLIP: Bridging Text and Image in AI Art(AI Painting Creation Intro Course 10)

VAE Series: How to Compress Images to Free Up GPU Space(AI Painting Creation Intro Course 11)

Train Your Own Diffusion Model(AI Painting Creation Intro Course 12)

DreamBooth and LoRA: Low-Cost Solutions for Creating Custom IP AI Art Models(AI Painting Creation Intro Course 13)

ControlNet: A Breakthrough in Composition Control, Unmatched Since Its Debut(AI Painting Creation Intro Course 14)

Stable Diffusion 3 vs. FLUX.1: Which One Comes Out on Top?

Flux 1.0: Batch AI Image Generation with Streamlit and Replicate API