Full-Stack GenAI: Fine-Tuning and Integration with FastAPI, React, and MongoDB
Build full-stack GenAI applications by fine-tuning models and integrating them with FastAPI, React, and MongoDB.
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Introduction to Generative AI
Unit 1: Generative AI Fundamentals
What is Generative AI?
GenAI: Use Cases
VAE Intro
GAN Intro
Diffusion Models Intro
Unit 2: Transformers and Development Setup
Transformers Intro
VAE vs GAN
GAN vs Diffusion Models
Transformers vs RNNs
Choosing the Right Model
Unit 3: Development Environment Setup
Python Setup
TensorFlow/PyTorch
Hugging Face Setup
IDE Setup
Working with Pre-trained Generative AI Models
Unit 1: Introduction to Pre-trained Models
What are they?
Hugging Face Hub Intro
HF Transformers Library
Unit 2: Text Generation with Pre-trained Models
Text Generation Basics
Controlling Text Output
Prompt Engineering
Evaluating Text Output
Unit 3: Image Generation with Pre-trained Models
Image Generation Basics
Text-to-Image Generation
Image Editing
Unit 4: Code Generation with Pre-trained Models
Code Generation Basics
Controlling Code Output
Prompt Engineering for Code
Evaluating Code Output
Fine-Tuning Generative AI Models
Unit 1: Dataset Preparation for Fine-Tuning
Gathering Your Data
Data Cleaning 101
Formatting Your Data
Data Augmentation
Unit 2: Fine-Tuning Techniques
Fine-Tuning Text Models
Fine-Tuning Image Models
Fine-Tuning Code Models
LoRA and QLoRA
Unit 3: Monitoring and Evaluation
Metrics for Text Models
Metrics for Image Models
Metrics for Code Models
Visualization Techniques
Unit 4: Addressing Common Issues
Tackling Overfitting
Mode Collapse
Bias Amplification
Building a FastAPI Backend for GenAI
Unit 1: FastAPI Fundamentals for GenAI
FastAPI Intro
Data Validation with Pydantic
Request Parsing
Response Handling
Dependency Injection
Unit 2: Integrating GenAI Models with FastAPI
Loading GenAI Models
Text Generation Endpoint
Image Generation Endpoint
Code Generation Endpoint
Unit 3: Data Storage and Security
MongoDB Setup
Storing Generated Content
Authentication
Authorization
API Security Best Practices
Creating a React Frontend for GenAI
Unit 1: React Setup and API Connection
React Project Setup
Connecting to FastAPI
Handling API Responses
Unit 2: Building the User Interface
Input Components
Styling with CSS
Displaying GenAI Output
UI Layout
Unit 3: Advanced Features and Feedback
Submitting Prompts to API
Real-time Updates
User Feedback
Error Handling
Unit 4: Enhancements and Deployment
Loading States
Accessibility
Deployment
Ethical Considerations and Responsible AI Development
Unit 1: Understanding Ethical Implications
GenAI's Ethical Maze
Bias in GenAI: An Overview
Privacy Pitfalls
Copyright Conundrums
Misinformation Mayhem
Unit 2: Mitigating Bias in GenAI
Data Auditing 101
Data Balancing Acts
Algorithmic Interventions
Fairness Metrics
Human-in-the-Loop
Unit 3: Responsible AI Development
Ethics Guidelines
Transparency & Explainability
Accountability Frameworks
Legal Landscapes