LLM Fine-Tuning 10: LLM Knowledge Distillation | How to Distill LLMs (DistilBERT & Beyond) Part 1

In this video (Part 1 of our Fine-Tuning Series), we dive into LLM Knowledge Distillation – a powerful way to make Large Language Models (LLMs) like BERT, DistilBERT, and LLaMA smaller, faster, and cheaper to run without losing too much performance. You’ll learn: What Knowledge Distillation is and why it matters for LLMs How Teacher-Student training works (with Hugging Face Transformers) A hands-on DistilBERT distillation example using PyTorch & Hugging Face How to apply these concepts to other models like LLaMA and custom LLMs Tips to speed up inference, cut costs, and deploy on edge devices Perfect for: ML Engineers Data Scientists Students & Researchers Anyone building with LLMs in 2025! Code Repository & Notes: https://github.com/sunnysavita10/Complete-LLM-Finetuning/blob/main/BERT_Finetuning.ipynb Got questions or topic requests? Drop a comment below 👇. 🔔 Subscribe for more AI tutorials 📢 Like 👍 | Comment 💬 | Subscribe 🔔 for more LLM power content! 📌 Keywords Covered: #LLMFineTuning #RNNvsTransformer #AITransformers #DeepLearning #NeuralNetworks #FineTuningExplained #TransformerRevolution #LLMSeries #MLTutorials #Finetuning #RAG #AIAgents #LLMWorkflow #AIForBusiness #LLMComparison #LangChain #OpenAI #EnterpriseAI #PromptEngineering #HuggingFace #LLMTutorial #SunnyAI #Transformers2025 Drop your questions/suggestions in the comments—let’s build this together! Don't miss out; learn with me! #langchain LangGraph #AIagents #StructuredOutput #GenerativeAI #LangChain #AIautomation #llm #embedding #ai #futureai #generativeai #genai #textgeneration #ragapp #langchain #programminglogic #python #chatbot #openai #gpt #langchainj #rag #crossencoder #transformers #multiretriever #ragfusion #advancerag #llamaindex #langchain #gemini #google #rag #LCEL #langgraph #aiagent #react #aiagents #aiagents #agenticAI #generativeai #doctorappointment #automation #AI #MachineLearning #DeepLearning #ArtificialIntelligence #mlbb #LLM #LargeLanguageModels #L