Explore the implementation of Llama 2, the leading open-source Large Language Model, in LangChain for creating a conversational agent. Learn how to access and initialize the 70B parameter model fine-tuned for chat using Hugging Face transformers. Discover techniques for quantization, managing GPU memory requirements, and setting stopping criteria. Follow along as the video demonstrates loading Llama 2 into LangChain, creating a conversational agent, and applying prompt engineering. Gain insights into the future of open-source LLMs and their potential applications in artificial intelligence and natural language processing.