Explore the world of open-source Large Language Models (LLMs) and their practical applications in this comprehensive 1-hour 7-minute webinar. Gain insights into the comparative analysis between open-source LLMs and proprietary options like OpenAI, understand the economic aspects of hosting these models, and learn how to evaluate and benchmark LLM performance. Delve into topics such as code generation, memory calculation, quantization, Llama 2 latency and cost, supervised fine-tuning, reinforcement learning for human feedback, and the differences between RLHF and DPO. Discover the potential of open-source LLMs for production environments and explore tools like dstack to enhance your understanding of this rapidly evolving field.