How etqadkhan/ai-engineering works
This repository is a collection of study-note slide decks about AI engineering, not a software runtime. The principal workflow is for a learner to study the materials, which are organized from foundation models through evaluation, application techniques, model/data adaptation, and deployment architecture. The README documents each deck’s topics; no source excerpts are available to establish relationships beyond that organization.
Main entry points: Chapter1Part1.pptx Language Models · Chapter1Part2.pptx AI Applications · Chapter2Part1.pptx Transformers · Chapter2Part2.pptx Model Training
Components 25
AI Foundations
- Language Models
Chapter1Part1.pptx - AI Applications
Chapter1Part2.pptx - Transformers
Chapter2Part1.pptx - Model Training
Chapter2Part2.pptx - Generation
Chapter2Part3.pptx
Evaluation & Prompts
- Evaluation Metrics
Chapter3Part1.pptx - Evaluation Methods
Chapter3Part2.pptx - AI Judges
Chapter3Part3.pptx - System Evaluation
Chapter4Part1.pptx - Model Selection
Chapter4Part2.pptx - Evaluation Pipelines
Chapter4Part3.pptx - Prompt Engineering
Chapter5Part1.pptx - Prompt Security
RAG & Agents
- RAG Systems
Chapter6Part1.pptx - Agent Basics
Chapter6Part2.pptx - Agent Reasoning
Chapter6Part3.pptx
Models & Data
- Fine-Tuning
Chapter7Part1.pptx - Efficient Tuning
Chapter7Part2.pptx - Model Merging
Chapter7Part3.pptx - Data Curation
Chapter8Part1.pptx - Data Synthesis
Chapter8Part2.pptx
Inference & Architecture
- Inference Metrics
Chapter9Part1.pptx - Inference Optimization
Chapter9Part2.pptx - AI Architecture
Chapter10.pptx
Other components
- Learner
Connections 24
- Learner → Language Models: studies
- Learner → AI Applications: studies
- Learner → Transformers: studies
- Learner → Model Training: studies
- Learner → Generation: studies
- Learner → Evaluation Metrics: studies
- Learner → Evaluation Methods: studies
- Learner → AI Judges: studies
- Learner → System Evaluation: studies
- Learner → Model Selection: studies
- Learner → Evaluation Pipelines: studies
- Learner → Prompt Engineering: studies
- Learner → Prompt Security: studies
- Learner → RAG Systems: studies
- Learner → Agent Basics: studies
- Learner → Agent Reasoning: studies
- Learner → Fine-Tuning: studies
- Learner → Efficient Tuning: studies
- Learner → Model Merging: studies
- Learner → Data Curation: studies
- Learner → Data Synthesis: studies
- Learner → Inference Metrics: studies
- Learner → Inference Optimization: studies
- Learner → AI Architecture: studies