The Eagle/Finch Paper
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The Eagle/Finch Paper
Title
Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence
Who
A collaborative effort between researchers from the RWKV Project (under Linux Foundation AI & Data), EleutherAI, and various universities, including Ohio State University, University of California Santa Barbara, and University of British Columbia.
Why
The research aims to address the limitations of traditional transformer architectures, specifically their quadratic time complexity with respect to input sequence length. The goal is to improve the efficiency and performance of LLMs, making them more suitable for tasks involving long sequences.
How
Experiment Design: The researchers developed two new RNN architectures: Eagle (RWKV-5) and Finch (RWKV-6).
Key Variables & Models: The study focuses on the impact of multi-headed matrix-valued states and a dynamic recurrence mechanism on LLM perfo…
