I like to train large deep neural nets too ๐ง ๐ค๐ฅ | First Paper (AutoAgents: A Framework for Automatic Agent Generation) Accepted @ IJCAI 2024 | Role Model Karpathy
Implements from first-principle a discrete flow matching model for code generation- trained a small sized 2D dfm model on two variations of code for binary search. The result was amazing, code in comment: Code: https://github.com/Jaykef/ai-algorithms/blob/main/dfm.ipynb
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: