Open Sourcing Guardrails on the Gateway Framework We are solving the *biggest missing component* in taking AI apps to prod → Now, enforce LLM behavior and route requests with precision, in one go.
Scaling Transformer to 1M tokens and beyond with RMT - Summary The paper presents a method to extend the context length of BERT, a Transformer-based model in natural language processing, by incorporating token-based memory storage and segment-level recurrence with recurrent memory (RMT). The method enables the model to store task-specific information across up
