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Engineer's framework for LLM & RAG evaluation
A hands-on guide to measuring what matters
 • 
Paul Iusztin
The ultimate LLM fine-tuning pipeline
Master production-ready fine-tuning with AWS SageMaker, Unsloth, and MLOps best practices
 • 
Paul Iusztin
Connecting the dots in data and AI systems
Simplifying MLE & MLOps with the FTI Architecture
 • 
Paul Iusztin
4
The ABCs of Diffusion Models
Your Guide to ML’s Next Big Thing
 • 
Anca Ioana Muscalagiu
Inside vector DBs: A simple guide
Understand the fundamentals of vector databases
 • 
Paul Iusztin
4
Instagram data mining using LLMs
Crawl Instagram posts and use LLMs to extract critical insights for business growth.
 • 
Vlad Adumitracesei
6
Custom AI solutions are overrated
Build a production RAG application in 30 minutes using Snowflake
 • 
Paul Iusztin
Embeddings: the cornerstone of AI & ML
Fundamentals of embeddings: what they are, how they work, why they are so powerful and how they are created.
 • 
Paul Iusztin
Experiment Tracking Essentials: Finding the Right Tool
Gradio’s Custom Dashboards vs Wandb’s Built-In Tools for Training Diffusion Models
 • 
Anca Ioana Muscalagiu
Retrieval-Augmented Generation (RAG) Fundamentals First
Mastering the basics of RAG still beats advanced techniques
 • 
Paul Iusztin
Build Multi-Index Advanced RAG Apps
How to implement multi-index queries to optimize your RAG retrieval layer.
 • 
Paul Iusztin
LLM Agents Demystified
Hands-on ReAct Agent implementation with AdalFlow library
 • 
Li
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