Open Source — Tech News

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…

llm promptengineering finetuning ai

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…

finetuning mistakes students guide

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…

finetuning deployment vllm serving

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…

finetuning qlora llm opensource

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…

llm measurement finetuning security

Originally published on Loop & Retry — field notes on building LLM agents that survive production. Most fine-tuning guides answer "how many exam…

finetuning contextengineering training cost

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…

gemma finetuning ai agents

The gap between "using AI" and "owning AI" is closing fast - and understanding why matters for anyone building products or running a business today.…

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…

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It is May 2026, and the field has stopped pretending hallucinations are going to disappear. What has happened instead is more interesting. Researche…

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