Deep Learning and Generative AI: Complete Notes

Overview

13-page beginner-friendly notes on deep learning and generative AI for testers: neural networks, training, overfitting, model architectures, LLM text generation, prompts, RAG vs fine-tuning and testing AI outputs. Published by SoftwareTestPilot.

Table of contents

1. AI, ML, DL and GenAI
2. Inside a neural network
3. How training works
4. Data and overfitting
5. Common model architectures
6. Generative model families
7. How an LLM generates text
8. Training vs using a model
9. Write better prompts
10. RAG vs fine-tuning
11. Test AI outputs properly
12. Your practical learning plan

Who this resource is for

• Manual Tester
• Automation Tester
• SDET

Format and what you get

• A downloadable PDF you can read on phone or laptop.
• Included in the QA Notes Vault: one payment unlocks every note in the Vault, with lifetime access to it.
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