Starting the Year with the Launch of LLM

On January 15, experts will discuss how to accurately calculate the configuration for launching LLM and how to adjust inference parameters to save costs without losing quality. Other interesting topics in the program include: - what constitutes vRAM consumption - how to accurately calculate the required GPU configuration - which LLM parameters most affect price and performance - how to scale the model and transition it to serverless mode. There will also be practical demonstrations: launching LLM in the Evolution ML Inference service, explaining optimal parameters, and comparing different configurations in terms of cost and speed. It will be interesting for anyone looking to avoid unnecessary expenses on ML infrastructure.