Learn how to fine-tune an embedding model for Retrieval Augmented Generation (RAG) using Hugging Face. This tutorial covers creating a synthetic dataset, training the model, and evaluating its performance.
🎯 Read Tutorial →A complete guide to fine-tuning Large Language Models (LLMs) like Llama 3 using modern techniques like PEFT, LoRA, and QLoRA with the Hugging Face TRL library.
🚀 Read Tutorial →Sikhein kaise Gemma 3 270M model ko QLoRA ka upyog karke emoji generation ke liye fine-tune karein. Ismein dataset preparation, model training, aur evaluation shamil hai.
✨ Read Tutorial →Unsloth ka use karke Qwen3 Vision model ko handwritten math formulas ko LaTeX me convert karne ke liye fine-tune karna seekhein. Yeh tutorial speed aur efficiency par focus karta hai.
✍️ Read Tutorial →Dependency issues se bachkar Unsloth ki official Docker image ka use karke LLMs ko locally fine-tune karna seekhein. Yeh ek clean aur isolated environment pradan karta hai.
🐳 Read Tutorial →Unsloth ka use karke OpenAI ke powerful gpt-oss-20b model ko fine-tune karna seekhein. Iske unique "Reasoning Effort" feature ko explore karein aur multi-lingual tasks ke liye customize karein.
🧠 Read Tutorial →Learn how to fine-tune OpenAI's gpt-oss model using the Hugging Face Transformers library. This official guide from OpenAI's cookbook covers the end-to-end process.
📖 Read Tutorial →