Low Computational Efficiency: The standard implementation breaks down the attention computation into multiple independent steps (such as matrix multiplication and softmax), each requiring frequent ...

According to the patent abstract, the system consists of several key modules working in collaboration to achieve more precise multi-turn dialogue. First, the Semantic Understanding Module is ...

For their NLP experiments, the team used a BERT-based model architecture, with the attention mechanism replaced with BigBird, and compared their model's performance with RoBERTA and with ...

Researchers at Google Brain have open-sourced the Switch Transformer, a natural-language processing (NLP) AI model. The model scales up to 1.6T parameters and improves training time up to 7x ...

Forbes contributors publish independent expert analyses and insights. Hannah is a former HBS & HSG researcher, and a Wiley-published author. The global artificial intelligence (AI) community rocked ...

This has given rise to attention mechanisms, which help NLP models identify key words, in popular models like OpenAI’s GPT-3. These tools are now also at the heart of MIT’s new “SpAtten” model, a ...

NEW YORK – Bloomberg today released a research paper detailing the development of BloombergGPT TM, a new large-scale generative artificial intelligence (AI) model. This large language model (LLM) has ...

B usinesses today manage a tsunami of documents and data that comes in all forms. Consider all the written information contained in investor reports, sales invoices, customer user manuals, technical ...