I don’t think NLP has unique demands on frameworks or hardware, and they’re similar to those in other areas of AI research. You always need more memory, higher bandwidth, more parallel computing power, and higher speeds. So, optimizations for specific NLP scenarios a...
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🎥️ Attention is all you need; Attentional Neural Network Models by Łukasz Kaiser [Talk, 2017] 📙 Attention Is Off By One [July, 2023] 🎥️ Understanding and Applying Self-Attention for NLP [Talk, 2018] 📙 The NLP Cookbook: Modern Recipes for Transformer based Deep Learning Arc...
NLP engines are fast, consistent, and programmable, and can identify words and grammar to find meaning in large amounts of text. Understanding the context behind human language Most importantly: human language is complicated. And that means that computers need to work harder than we do to ...
“There are some who say that there’s no need to build a translator device because the translation function can be integrated into a smartphone. But we made a deliberate decision to sell our translator as a hardware device,” says Hu. First, he explains, we tend to hold our phones close...
(i.e., input) of a human user10. Similarly, emotions have been seen as an integral part of creativity such that emotions help dictate states of flow or mind-wandering that aid in creative processes18. However, AI may not necessarily need to rely on metacognitive or affective processes to ...
You only need the hidden state at position t to compute the state at position t+1. You can use the "GPT" mode to quickly compute the hidden state for the "RNN" mode. So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, ...
"Metaprogram" is the term used in NLP to label thecontent-free "filters"we apply in our everyday life and use to make up our model of the world. Knowing this helps you understand how that person works in a team, what kind of instruction they need to receive, and what they expect fr...
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