Generative AI from Basic to Advance - LLM Fine-Tuning 24: Embedding & Embedding Fine-Tuning Full Guide | Train Your Own Embedding Model

n this complete tutorial, we dive deep into Embedding Fine-Tuning and understand how to improve Semantic Search and Retrieval-Augmented Generation (RAG) systems. If you are building production-grade AI systems, vector databases, or advanced retrieval pipelines, understanding embeddings is critical. In this video, we cover: 📌 Chapter 1 – Foundations • What is an Embedding? • What is Semantic Search (Similarity Search)? • Keyword Search vs Semantic Search • Encoding vs Embedding • Applications of Embeddings 📌 Chapter 2 – Embedding Models • Popular Open-Source Embedding Models • Types of Embedding Models (Bi-Encoder, Cross-Encoder, etc.) • How to Select the Best Embedding Model • Embedding Model Leaderboard 📌 Chapter 3 – Architecture & Training • Are Embedding Models Transformer-Based? • How are Embedding Models trained? • Which datasets are used for training? 📌 Chapter 4 – Embedding Fine-Tuning • What is Embedding Fine-Tuning? • Why and When to Fine-Tune? 📌 Chapter 5 – Practical Implementation • Dataset Formats for Embedding Fine-Tuning • Fine-Tune Any Embedding Model on Custom Data 📌 Chapter 6 – Embedding FT vs LLM FT • Clear comparison between Embedding Fine-Tuning and LLM Fine-Tuning This video is ideal for: AI Engineers ML Engineers RAG Developers LLM Engineers Anyone building semantic search systems If you're serious about building production-grade AI systems, this is a must-watch. Material & Resources: https://github.com/sunnysavita10/Complete-LLM-Finetuning/tree/main/LLM%20Fine-Tuning-24-Embedding-and-Embedding-Finetuning Got questions or topic requests? Drop a comment below 👇. 📌 Keywords Covered: #MultimodalLLM #VisionLanguageModel #MultimodalFineTuning #LLMFineTuning #Unsloth #LLaVA #QwenVL #Pixtral #LlamaVision #LoRA #QLoRA #VisionEncoder #ProjectionLayer #HuggingFace #Transformers #GenerativeAI #AIForDevelopers #CustomDataset #ImageToText #AITraining #SunnySavita #SemanticSearch #RAG 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