DeepLearning.AI

The Net Speaks in Many Tongues: NLP Model Translates 200 Different Languages

Sentence pairs that have equivalent meanings in different languages — typically used to train machine translation systems — have been available in sufficient quantities for only around 100 languages. New work doubled that number and produced a more capable model.

Johns Hopkins University

The Net Speaks in Many Tongues: NLP Model Translates 200 Different Languages

Sentence pairs that have equivalent meanings in different languages — typically used to train machine translation systems — have been available in sufficient quantities for only around 100 languages. New work doubled that number and produced a more capable model.

Johns Hopkins University

Multimodal AI Takes Off: Multimodal Models, such as CLIP and DALL·E, are taking over AI.

While models like GPT-3 and EfficientNet, which work on text and images respectively, are responsible for some of deep learning’s highest-profile successes, approaches that find relationships between text and images made impressive

Johns Hopkins University

Multimodal AI Takes Off: Multimodal Models, such as CLIP and DALL·E, are taking over AI.

While models like GPT-3 and EfficientNet, which work on text and images respectively, are responsible for some of deep learning’s highest-profile successes, approaches that find relationships between text and images made impressive

Johns Hopkins University

The Net Speaks in Many Tongues: NLP Model Translates 200 Different Languages

The Net Speaks in Many Tongues: NLP Model Translates 200 Different Languages

Multimodal AI Takes Off: Multimodal Models, such as CLIP and DALL·E, are taking over AI.

Multimodal AI Takes Off: Multimodal Models, such as CLIP and DALL·E, are taking over AI.

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