Fine-tuning Mistral Models with Your Own Data in AI Studio

DataCreator AI · Intermediate ·🧠 Large Language Models ·5mo ago
In this video, I demonstrate how to fine-tune Mistral models directly using the Mistral AI Studio (low-code) without requiring LoRA, GPUs, or self-hosting infrastructure. What you will learn When to fine-tune vs Prompt Engineering vs RAG Before/After FineTuning outputs and what to realistically expect How to prepare a clean fine-tuning dataset (JSONL format) Uploading and launching a fine-tune job with Mistral AI Studio Cost and token accounting — real numbers Understanding epochs, learning rate, and overfitting Target use-case shown Building an emotional-support style chatbot in Telugu usin…
Watch on YouTube ↗ (saves to browser)
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Next Up
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)