Explore the key changes and improvements in LLaMA2, Meta's latest large language model. Dive into the three base models, examine the LLaMA paper, and compare win rates against other models. Learn about the release of 7B, 13B, and 70B models, and understand the decision to delay the 34B model. Analyze pre-training graphs for different models and discover the role of third-party labeling and annotation. Compare RLHF implementations across various models and get hands-on with the Hugging Face LLaMA 70B chatbot. Access resources including Meta's website, HuggingFace models, and GitHub repositories for further exploration.