Key-value (KV) caching plays an essential role in accelerating decoding for transformer-based autoregressive large language models (LLMs).

Image sizes vary, typically ranging from 200 to 300 pixels per edge.

K = 5 for all tested models, while retaining the performance for K = 1 .

While deep learning's performance has led it to become the dominant paradigm in machine learning,

This document contains supplementary material for "Dialog without Dialog Data: Learning Visual The main paper excludes some details which we provide here. Section 12 reports the ablations we use to evaluate the effects of different aspects of the proposed Q-bot. This section describes our architecture in more detail. There is a minor notation difference between this section and the main paper. Note that for the planner there is an additional residual connection at line 16 which augments the hidden state.