Fine-Tuning vs. Prompt Engineering: Which One Do You Need?
Compare two ways to adapt an AI model to your task, and learn when each one actually pays off.
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FOR YOUR CURIOSITY
Latest notes.
Retrieval-Augmented Generation (RAG): Giving AI Models a Memory
Learn how RAG lets a language model answer questions using information it was never trained on.
What Is a Context Window, and Why Does Size Matter?
Every AI model has a limited memory span. Learn what a context window is and how it shapes what the model can do.
Open-Weight vs. Closed AI Models: What's the Real Difference?
Llama and Mistral ship their weights; GPT and Claude stay behind an API. Here's what that trade-off means in practice.
The Transformer Architecture, Explained
Break down self-attention and feed-forward layers, the two building blocks behind every modern language model.
Understanding Large Language Models: How They Actually Work
A plain-language look at how large language models turn text into predictions, one token at a time.
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ABOUT THE AUTHOR
Dr (C). Ir. Putu Adi Guna Permana, S.Kom., M.Kom., IPM., ASEAN Eng.
Writer and founder of Diary Coding — sharing notes, tutorials, and experiences about programming for anyone who wants to keep learning.