Fine-tuning - TechnoScripts

fine-tuning

Guides on fine-tuning pretrained machine learning models on your own data with Python.

CPU vs GPU vs TPU vs NPU: AI Hardware Explained Simply

Try to run a real AI model and CPU vs GPU vs TPU stops being trivia: it decides whether the model even loads. The marketing is loud and the plain explanation is rare, so this post is the plain explanation. You will learn why AI leans on massively parallel chips, why “does it fit?” matters before “is it fast?”, and exactly what hardware each stage of this series needs. “People who are really serious about software should make their own ... Read More

How to Choose Hardware for AI: Laptop, Colab, or Cloud GPU

The honest answer to what hardware for AI you need is the laptop already in front of you. That one line saves most beginners a few hundred dollars. Instead of arguing which chip is fastest, this guide matches each kind of AI work to the cheapest option that finishes it: your own CPU, free Colab, a rented cloud GPU, or an API and no hardware at all. “By far, the greatest danger of Artificial Intelligence is that people conclude too ... Read More

GenAI: Fine-Tuning LLMs with LoRA, QLoRA, and PEFT

Fine-tuning LLMs starts with a simple problem: a pre-trained Large Language Model (LLM) is a generalist. It knows a little about everything, but it is not an expert at your one specific job. When you fine tune an LLM, you train that generalist further on your own data and turn it into a specialist. Here is the part that surprises people: you do not have to retrain the whole model. Techniques like LoRA (Low-Rank Adaptation) and QLoRA (Quantized LoRA) let ... Read More