Chatbots are increasingly being used in a variety of applications, such as customer support, sales and knowledge transfer. As humans, we’re accustomed to receiving quick responses in communication, so it’s essential that chatbots provide fast, natural-feeling interactions. Achieving this seamless experience depends largely on the deployment of the model. Our tools help to achieve this, enabling chatbots deliver fast and efficient responses.
Large Language Models (LLMs) are typically the core of chatbots, but they are also among the most resource-intensive AI models available today. As a result, it’s crucial to minimize resource consumption wherever possible. This can be achieved by optimizing both the model and the deployment setup, with a focus on resource-efficient inference. Additionally, choosing the right server architecture is essential to ensure there are enough resources to handle requests quickly, without over-provisioning and wasting resources. Our toolbox supports the entire deployment process – from hardware selection and optimization to the final deployment – helping you achieve an efficient solution.
Deployment done right
Deploying artificial intelligence / machine learning models the correct way is easy with our tools. Just define your models in our web-app, find the right server architecture, and deploy your models with a single click on-premise or to the cloud. Our all-in-one solution eliminates the hassle, optimizing both your models and deployment configurations to deliver maximum inference speed while minimizing server costs.