Complete LLM Fine Tuning Tutorial for Beginners (Free and Open Source) | Explained in Tamil | GenAI

🚀 Learn LLM Fine Tuning from Scratch (Tamil) | Complete GenAI Playlist Learn Large Language Model (LLM) Fine Tuning from scratch in Tamil through this complete end-to-end Generative AI playlist. This series is designed to help beginners and professionals understand how modern GenAI systems and open source LLMs work internally, and how to fine tune them for real world applications. This playlist explains LLM fundamentals, fine tuning strategies, and hands-on implementation using modern tools like Hugging Face, LoRA, PEFT, and Quantization. Every concept is explained step-by-step in simple Tamil with practical demonstrations, making it easy for developers and AI enthusiasts to follow along. Code Used: https://github.com/akash-balakrishnan-22/fine-tuning-beginners/blob/main/notebooks/Fine_Tuning_compete.ipynb All Complete Tutorials for Beginners: RAG: https://www.youtube.com/watch?v=4Qp5D5hcE4A CrewAI Agents: https://www.youtube.com/watch?v=PgPo9WHQczw LangGraph Agents: https://www.youtube.com/watch?v=vVtzWXTv3vM MCP: https://www.youtube.com/watch?v=2wyaDf04n_I FastAPI: https://www.youtube.com/watch?v=DRPpaFNpS-8 Socials: 1:1 Mentorship : https://topmate.io/akash_balakrishnan/706031 LinkedIn: https://linkedin.com/in/akashb22 Instagram: https://instagram.com/ai.with.akash 📚 What You Will Learn 🧠 LLM Fundamentals What are Large Language Models (LLMs) How LLMs understand and generate text Encoding and decoding inside transformer models Tokenization and how text becomes tokens Understanding special tokens and tokenizers How attention mechanisms work in LLMs 🤖 Types of LLM Models Difference between Base LLM vs Instruct LLM What are Open Source LLMs vs Open Weights models Understanding popular open models like Llama, Mistral, and others Model formats such as GGUF and model quantization formats ⚙️ Fine Tuning Concepts What is LLM Fine Tuning When to use Fine Tuning vs RAG Dataset preparation for training LLMs Instruction datasets and conversation datasets Unde