Generative AI from Basic to Advance - LLM Fine-Tuning Crash Course: Finetune model on PDFs, Instruction FT, Preference Training (DPO/RLHF)

This single video gives you the complete roadmap to transform a base LLM into a domain-specific, instruction-following, preference-aligned AI assistant using Hugging Face Transformers + PEFT + TRL. What You Will Learn 1️⃣ Domain-Specific Fine-Tuning on Your PDFs How to extract clean text from PDFs Chunking & preprocessing Preparing domain datasets (json, jsonl) Training LLMs on your organization’s documents 2️⃣ Instruction Fine-Tuning (SFT) What is SFT & why it is required Prompt → Response formats Creating your own instruction dataset Fine-tuning with LoRA/QLoRA Evaluation & checkpoint best practices 3️⃣ Preference Alignment (DPO, RLHF, RLAIF) Why LLMs need preference alignment Chosen vs rejected datasets DPO training intuition + formula + implementation RLHF vs RLAIF How companies align LLMs (OpenAI, Anthropic, Meta) 🔧 Technologies, Tools & Frameworks Used Hugging Face Transformers PEFT (LoRA, QLoRA) TRL (DPO / RLHF) BitsandBytes LLaMA / Mistral / Qwen models Python, JSONL, PyTorch By the end of this video, you will: Build a full dataset pipeline from PDFs to clean training data Prepare instruction datasets for SFT Perform Domain-Specific Fine-Tuning Perform Preference-Based Training (DPO) Export & use your final fine-tuned model in real applications Material & Resources: https://github.com/sunnysavita10/Complete-LLM-Finetuning/tree/main/LLM%20Fine-Tuning-14-Train-LLMs-on-Your-PDF-Text-Data%20-Domain-Specific-Fine-Tuning-with-HuggingFace https://github.com/sunnysavita10/Complete-LLM-Finetuning/tree/main/LLM%20Fine-Tuning-15-Instruction%20Fine-Tuning%20Explained%20-Domain-Specific%20Fine-Tuning%20with%20Hugging%20Face https://github.com/sunnysavita10/Complete-LLM-Finetuning/tree/main/LLM%20Fine-Tuning-16-Preference-based-training 🔔 Like, Share & Subscribe to stay updated with the full LLM fine-tuning playlist. Got questions or topic requests? Drop a comment below 👇. 📌 Keywords Covered: #LLMFineTuning #LLMQuantization #GPTQ #PTQ #QAT #AWQ #GGUF #GGML #llamaCpp #DeepLearning #NeuralNetworkOptimization #Transformers #HuggingFace #LangChain #LangGraph #RAG #AdvancedRAG #AIAgents #AgenticAI #GenerativeAI #LLMTutorial #AIProjects #AIForDevelopers #TransferLearning #FineTuning #PretrainedModels #OpenSourceAI #LLM #MachineLearning #ArtificialIntelligence #AITutorial #Python #Chatbot #StructuredOutput #PromptEngineering #TextGeneration #Embedding #LLMWorkflow #SunnyAI #YouTubeLearning #AIautomation #AIForBusiness #EndToEndTutorial #LLMFineTuning #DomainSpecificLLM #HuggingFace #SunnySavita #AIProjects #LangChain #FineTuningTutorial #AIML #LoRA #QLoRA #AITraining #CustomLLM #PDFData #preference alignment #rlhf #dpo #ppo #rewardmodel Multimodel RAG Playlist: https://www.youtube.com/watch?v=7CXJWnHI05w&list=PLQxDHpeGU14D6dm0rmAXhdLeLYlX2zk7p&pp=gAQBiAQB RAG detailed playlist: https://www.youtube.com/watch?v=wTVTkOb3SZc&list=PLQxDHpeGU14Blorx3Ps1eZJ4XvKET1_vx&pp=gAQBiAQB GenAI Foundation Playlist: https://www.youtube.com/watch?v=ajWheP8ZD70&list=PLQxDHpeGU14D7NiPgqxC9qhKkx4jMQcDk&pp=gAQBiAQB Connect with me on social media LinkedIn: https://www.linkedin.com/in/sunny-savita/ One-to-One Call: https://topmate.io/sunny_savita10 GitHub: https://github.com/sunnysavita10 Telegram: https://t.me/aimldlds