Cost Optimization and Performance // LLMs in Production Conference Panel Discussion 2

// Abstract
In this panel discussion, the topic of the cost of running large language models (LLMs) is explored, along with potential solutions. The benefits of bringing LLMs in-house, such as latency optimization and greater control, are also discussed. The panelists explore methods such as structured pruning and knowledge distillation for optimizing LLMs. OctoML's platform is mentioned as a tool for the automatic deployment of custom models and for selecting the most appropriate hardware for them. Overall, the discussion provides …

abstract benefits conference control cost language language models large language models latency llms optimization panel performance production pruning running solutions