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Understanding BERT: Bidirectional Encoder Representations from Transformers
- 2024/12/20
- 再生時間: 5 分
- ポッドキャスト
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サマリー
あらすじ・解説
In this episode, we dive into BERT, a breakthrough model that's reshaping how machines understand language. Short for Bidirectional Encoder Representations from Transformers, BERT uses a clever technique to learn from text in both directions simultaneously, enabling unmatched performance on tasks like answering questions and language inference. With state-of-the-art results on 11 benchmarks, BERT has set a new standard for natural language processing. Tune in to learn how this simple yet powerful model works and why it’s a game-changer in AI!
Link to research paper- https://drive.google.com/file/d/1EBTbfiIO0D8fnQsd4UIz2HN31K-6Qz-m/view
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