I like to train large deep neural nets too 🧠🤖💥 | First Paper (AutoAgents: A Framework for Automatic Agent Generation) Accepted @ IJCAI 2024 | Role Model Karpathy
In Honour of This Year's NeurIPs Test of Time Paper Awardees This year's NIPs Test of Time Paper Awards went to two groundbreaking papers: 1. Generative Adversarial Nets (Goodfellow et al) 2. Sequence to Sequence Learning with Neural Networks (Ilya et al) Let's explore how these papers helped pioneered breakthroughs in today's AI:
Lightweight implementation of the seminal paper “Sequence to Sequence Learning with Neural Networks”
Built, trained and eval a 2 layer deep seq2seq LSTM-based model (~10M params) on German-English corpus of Multi30K dataset. In honor of ilya sutskever et al for winning this year’s NeurIPSConf Test of Time paper award 🫡