
BlogPage 3 of 11
AI engineering essays, explainers, and practical notes.
My blog on practical AI engineering, LLMs, agents, research, and what is actually useful to build.



Research With AI Tools
Research and Writing: Why AI Tools Change the Workflow

Best Practices for Building and Deploying Scalable APIs in 2025
API Deployment for AI Engineers


When NOT to Use Large Language Models
Save Money: When Simpler AI Beats LLMs

Optimizing RAG: Should you Fine-Tune?
Optimizing Large Language Models for Retrieval-Augmented Generation


Advanced Search Techniques: From Keywords to Graphs
Build a Smarter RAG System

How to Improve Your RAG Pipeline with Fine-Tuned Embedding Models
Is fine-tuning an embedding model worth it?

Long Context Models Explained: Do We Still Need RAG?
Retrieval-Augmented Generation vs. Long Context: A Comprehensive Comparison

Don’t Fall for the Hype: How to Identify Truly Useful AI
What Makes AI Truly Useful?

How to Effectively Evaluate Retrieval-Augmented Generation (RAG) Systems
Why RAG Evaluation Matters and Techniques to Leverage

Indexing Methods for Vector Retrieval
Advanced Vector Indexing Techniques for RAG

Releasing our 90+ lesson practical LLM Developer course!
The most practical and in-depth LLM Developer course out there

Find the Best AI Model for Your Specific Task
No-code Custom LLM Evaluation Demo


Top RAG Techniques You Should Know (Wang et al., 2024)
Building the Best RAG Stack: A Breakdown of Wang et al.'s Goldmine Study

OpenAI's o1 Model: The Future of Reasoning AI? What Sets It Apart
How OpenAI's o1 Model Thinks Through Problems (And Why It's Slower)


Large Language Models: More Than Autocomplete
LLMs are not just a trend

Personalized Marketing with AI
The Real AI Tools Revolutionizing Modern Marketing Beyond ChatGPT

