Phase-Associative Memory: Sequence Modeling in Complex Hilbert Space

1. 1Understand the concept of complex-valued representations in sequence modeling
2. 2Implement the Phase-Associative Memory (PAM) model using outer products and conjugate inner product
3. 3Evaluate the performance of PAM on benchmark datasets such as WikiText-103
4. 4Compare the results with other sequence models like transformers

ML researchers and engineers on a team can benefit from PAM as it provides a new approach to sequence modeling, and software engineers can implement and optimize the model

💡 PAM achieves competitive performance with transformers on sequence modeling tasks

🤖 Introducing Phase-Associative Memory (PAM), a new recurrent sequence model that uses complex-valued representations! 🚀