TinyBERT is 7.5x smaller and 9.4x faster on inference than BERT-base and achieves competitive performances in the tasks of natural language understanding
MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly. A graph optimization layer on top of that makes symbolic execution fast and memory efficient. MXNet is portable and lightweight, scaling effectively to multiple GPUs and multiple machines.
🚀 A fast way to build LLM Agent based Application 🤵 A light weight framework helps developers to create amazing LLM based applications. 🎭 You can use it to create an LLM based agent instance with role set and memory easily. ⚙️ You can use Agently agent instance just like an async function and put it anywhere in your code.
