#FineTuning

How to fine-tune Llama, Mistral, and other open models: data preparation with JSONL, LoRA vs full fine-tuning, cost comparison, and deployment. Code examples using Together AI and local GPU.

A practical way to tell whether a small LoRA preference-tuning run should stay on DPO or switch to SimPO.

Before I get started, this is my first blog on this platform, I hope it goes well. MAIN FOCUS It’s...

Foundation models are powerful, but out‑of‑the‑box they’re rarely production‑ready. Fine‑tuning is...

From Dev Community: Strategic LLM Adoption: A Director's Guide to Fine-Tuning Models for Domain-Specific Applications

A developer-focused article outlines decision frameworks for LLM finetuning—covering when it's worth the cost, how to approach it, and key trade-offs.