3 Easy Methods For Improving Your Large Language Model

In this video, you'll learn how to improve the performance of your Large Language Model using 3 incredibly easy-to-use methods! We will use Llama 2 as the open-source LLM to improve upon with extensive tutorials. Timeline 0:00 Introduction 0:32 Loading Llama 2 4:48 Prompt Template 6:27 Method 1: Prompt Engineering 12:00 Method 2: Retrieval-Augmented Generation (RAG) 18:10 Method 3: Parameter Efficient-tuning with LoRA 24:57 Combining all 3 methods 📒 Google Colab notebook https://colab.research.google.com/drive/1jXfyvoS8KY1sa9lsJz8cAptKTe-RZLjv?usp=sharing 🛠️ Written version of this tutorial https://maartengrootendorst.substack.com/p/3-ways-to-improve-your-llm 🦙 Llama 2 model (7B) on HuggingFace https://huggingface.co/meta-llama/Llama-2-7b-chat-hf Support my work: 👪 Join as a Channel Member: / @maartengrootendorst ✉️ Newsletter https://maartengrootendorst.substack.com/ 📖 Join Medium to Read my Blogs https://medium.com/@maartengrootendorst I'm writing a book! 📚 Hands-On Large Language Models https://www.oreilly.com/library/view/hands-on-large-language/9781098150952/ #datascience #machinelearning #ai