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luminary.blog
by Oz Akan
Technical Posts

- 2511140
SvelteKit Refresher

- 2511130
Svelte 5 Refresher with Runes

- 2511070
We Need More Data Centers

- 2511060
Single-Flight Pattern

- 2511040
Time and Space Complexity Refresher

- 2511030
Containers and Orchestration Refersher

- 2511020
Object-Oriented Programming Refresher

- 2511010
RAG vs MCP: Complementary AI Approaches

- 9999
Which Loss Function Do LLMs use?

- 2509051
What is Matryoshka Representation Learning (MRL)?

- 2509051
vLLM and SGLang Inference (Draft)

- 2508280
2-Hour Streamlit Workshop

- 2508271
UE8M0 FP8 Number Format

- 2508261
Understanding ML Numerical Formats

- 2508201
What do GPT-OSS and Gemma 3 really offer?

- 2508081
Attention Heads in LLMs (Draft)

- 2508082
Attention Heads in LLMs v2 (Draft)

- 2508051
What are Positional Embeddings?

- 2508011
Words, Tokens and Embeddings

- 2507312
Subword Tokenization Algorithms

- 2507301
What is LLM Inference?

- 2507281
CUDA Programming: An Introduction

- 2507240
A Tale of Software Rot

- 2507210
SOLID Principles with Examples

- 2506020
Decision Tree: DyanamoDB vs Aurora PostgreSQL

- 2505140
The Agentic AI Hype

- 250512
Embedding Selection for RAG Systems

- 2505010
Diffusion Based Language Models

- 2504250
Avoiding Stack Overflows with Trampoline Functions

- 2504161
Constraints: DyanamoDB vs Aurora PostgreSQL (Draft)

- 2504110
Quantum Resistance: Standing Strong Against Future Threats

- 2504070
Understanding the K-Nearest Neighbors (k-NN) Algorithm

- 2504040
Will Quantum Computers Make Encryption Obsolete?

- 2503280
Origins of Quantum Computing

- 2503260
Semantic vs Lexical Similarity

- 2503210
Error Correction in Quantum Chips

- 2503180
XGBoost: The Powerhouse of Gradient Boosting

- 2503170
What are Word Embeddings?

- 2503140
Three Terms To Know About Quantum Computers

- 2503110
SageMaker Built-in Algorithms

- 2503100
Factorization Machines

- 2503080
What are Quantum Chips?

- 2503060
SageMaker Linear Learner Algorithm

- 2503050
What are Features in Machine Learning?

- 2503030
The ML Development Lifecycle and Best Practices

- 2502280
Ocelot - Amazon Quantum Chip

- 2502260
The ML Development Lifecycle

- 2502240
TF-IDF Simplified

- 2502230
How do Passkeys Work?

- 2502200
AWS AI Practitioner Certification Notes

- 2502190
Future of Long-Context LLMs (Draft)

- 2101100
Asynchronous Typescript Code Examples

- 2101050
Best Async Document for Typescript

Growth Posts

- 2505050
Why the Right Work Doesn’t Need Willpower

- 2504270
Cognitive Mechanisms of Self-Perception

- 2504220
Beyond the Battlefield: The OODA Loop

- 2504150
The Power of Getting Lost in a Story

- 2503240
The Art of Asking Questions - 7 Hacks

- 2503120
The Most Mission Critical System You Will Ever Manage

- 2503070
Your Mistakes Are Mine, Your Wins Are Yours

- 2502280
Improv Principles for the Workplace

- 2502210
Bread and Water and Robots: A Fable

- 2502160
Dear Interviewer

- 2502150
Using Scarcity for Good in Leadership

- 2502100
The Scarcity Mindset: A Leadership Roadblock

- 9999
How to Earn Trust & Respect

- 9999
How to Ignore What You Can't Change

- 9999
How Scarcity Mindset Traps You at Work

- 9999
17 Common Questioning Mistakes We Make!

- 9999
Six Thinking Hats for Decision Making

- 9999
The Myth of '22 Times More Memorable'

- 9999
Stop Doing Too Much

- 9999
Why Your Presentation Isn’t Memorable

- 9999
Seek Truth, not the Comfort of Being Right

- 9999
The IKEA Effect

- 9999
Certainty: A Misleading Comfort

- 9999
Run Your Own Race

- 9999
Wake up, You are a Consultant

- 9999
The Illusory Truth Effect

- 9999
I am not What You Think I am

- 9999
Make Colleagues Like You

- 9999
Mastering the Art of Connecting the Dots

- 9999
The Paradox of Confidence and Incompetence

- 9999
Win Arguments Without Losing Relationships

- 9999
Adding Webmentions to Astro Cactus (Draft)

- 9999
Example OG Social Image (Draft)