Running Large Language Models in Production: A look at The Inference Framework (TIF)

The scale of language models continues to expand . This is because the ratio of model quality to model size is very good . therefore , Delivering these models to end users is becoming increasingly challenging . How to make the services of these models faster 、 More cost-effective is an eternal problem .

Considering this space of continuous development ,Cohere Developed an internal solution , Reasoning framework (TIF), To help solve these challenging problems . We hope TIF Be able to provide reasoning on our model as fast as possible , And maintain scalability and integrate new technologies 、 Flexibility of deep learning engine and framework . In this post , We will introduce TIF Advanced structure of system architecture and help me ​​ Some ways for people to effectively serve massive language models .