Amazon Trained in AI Model in Several Languages
Daniel Johnson — August 19, 2020 — Business
References: amazon.science & venturebeat
Amazon was able to train an AI model to improve product searchers in multiple different languages. The new AI model is named as a multitask model, where functions overlap in order to improve outputs. In order to accomplish this Amazon researchers trained the system with a number of different languages simultaneously. Nikhil Rao, an Amazon applied scientist, stated that training the system with two languages at ones allows the system to fill gaps with another language.
Improving language functions is important for the e-commerce giant, a it currently has services available across 14 different countries. Additionally, Rao spoke about the potential future applications fo multitask models, "In ongoing work, we are continuing to explore the power of multitask learning to improve our customers’ shopping experiences.”
Image Credit: Shutterstock
Improving language functions is important for the e-commerce giant, a it currently has services available across 14 different countries. Additionally, Rao spoke about the potential future applications fo multitask models, "In ongoing work, we are continuing to explore the power of multitask learning to improve our customers’ shopping experiences.”
Image Credit: Shutterstock
Trend Themes
1. Multitask Learning - Training AI models with multiple languages simultaneously to improve search capabilities.
2. Improved Language Functions - Developing AI models to enhance language capabilities in e-commerce platforms.
3. Enhanced Shopping Experiences - Using multitask learning to improve customer satisfaction and navigation in online shopping.
Industry Implications
1. E-commerce - Applying multitask learning to improve search functionalities in online retail platforms.
2. Artificial Intelligence - Leveraging multitask learning to enhance language processing capabilities in AI systems.
3. Retail - Implementing improved language functions in e-commerce platforms to enhance customer experiences.
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