Fine-Tune, Deploy and Use LLM As AI Agent
In this video I continue the fine-tuning series on my channel . This time I go through the whole pipeline, not just the training part: renting GPUs…
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Prompt engineering vs fine-tuning: which one do you need?
Every LLM team hits the same fork eventually, either keep steering the prompt or start training the model. Here's how to read the signals before you…
Ten fine-tuning mistakes I see students make (and made myself)
I built FineTune Studio after making most of these mistakes on my own runs. They are not exotic. They are the difference between "I fine-tuned a mod…
From adapter to deployment: merging LoRA weights and serving with vLLM or a Space
A fine-tuned adapter sitting in a folder is not a product. FineTune Studio offers three inference paths — local, a vLLM server, or a Hugging Face Sp…
Fine-tuning a 1.7B model at 3.2 GB VRAM — building FineTune Studio
FineTune Studio exists because every fine-tuning tutorial I found assumed a rented A100 and a notebook full of half-explained flags. I wanted someth…
How a Dedup Pass Deleted My Training Curriculum
Code: Megapixel99/capture-the-flag I built a capture-the-flag arena where language models attack and defend each other's containers. The replays the…
Context window sizing for fine-tuning: how long should your training examples be?
Originally published on Loop & Retry — field notes on building LLM agents that survive production. Most fine-tuning guides answer "how many exam…
Master Local Fine-Tuning with "gemma-trainer"
Remember back in May when I introduced the gemma-skills repository? It's been rewarding to see how many of you have used my previous post to streaml…
Fine-Tuning AI Models Is No Longer Just for ML Engineers
The gap between "using AI" and "owning AI" is closing fast - and understanding why matters for anyone building products or running a business today.…
Fine-Tuning Llama 3.2 3B on Medical QA: Week 4 - When Lower Loss Meant a Worse Model
What Happened This Week Week 3 produced a working fine-tuned model: one epoch, one dataset, a clear improvement over the base model. This week 4 was…
Reducing LLM Hallucinations in 2026: LoRA, F-DPO, and the Math That Actually Works
It is May 2026, and the field has stopped pretending hallucinations are going to disappear. What has happened instead is more interesting. Researche…