Generative AI from Basic to Advance - LLM Fine-Tuning 14: Train LLMs on Your PDF/Text Data | Domain-Specific Fine-Tuning with Hugging Face

Master Generative AI: From Basics to Breakthroughs in AI Models and RAG Systems

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26 learners

What you'll learn

Understand the evolution of generative AI from classical to modern techniques
Apply RAG and LangChain for building scalable AI applications
Implement end-to-end pipelines using LlamaIndex and LLM fine-tuning methods
Deploy AI models with CI/CD pipelines and container orchestration tools

This course includes

124.5 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

python programming generative ai langchain sunny savita rag LLM FineTuning FineTuning LargeLanguageModels HuggingFace Transformers LlamaFactory TransferLearning DeepLearning

Full Transcript

LLM Fine-Tuning Tutorial (Video 14) — In this video, I explain how to train and fine-tune Large Language Models (LLMs) on your own PDF or text data for domain-specific applications using Hugging Face Transformers. Learn step-by-step how to build a custom model that understands your company’s documents, research papers, or industry-specific language. Perfect for anyone working on enterprise AI, chatbots, research assistants, or document intelligence systems. 💡 What you’ll learn: 1️⃣ Domain-specific fine-tuning vs instruction tuning 2️⃣ How to prepare and clean PDF/Text datasets 3️⃣ Tokenization and dataset loading with Hugging Face Datasets 4️⃣ Training setup with TrainingArguments and Trainer 5️⃣ saving, and re-using fine-tuned models 6️⃣ Practical tips for low-VRAM systems (LoRA / QLoRA) 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 🔔 Like, Share & Subscribe to stay updated with the full LLM fine-tuning playlist. Got questions or topic requests? Drop a comment below 👇. ⏱️ Timestamps: 00:00 – Introduction 24:10 – Understanding the LLM Training Pipeline 42:36 – Instruction Fine-Tuning Example 50:17 – LLM Family Breakdown (Training Stages Explained) 55:05 – Hands-on Practical: Non-Instruction Fine-Tuning on PDF/Text Data 📌 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 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