AI Practitioner: Practical BERT Examples
Artificial Intelligence
| Expert
- 16 Videos | 50m 7s
- Includes Assessment
- Earns a Badge
Bidirectional Encoder Representations from Transformers (BERT) can be implemented in various ways, and it is up to AI practitioners to decide which one is the best for a particular product. It is also essential to recognize all of BERT's capabilities and its full potential in NLP. In this course, you'll outline the theoretical approaches to several BERT use cases before illustrating how to implement each of them. In full, you'll learn how to use BERT for search engine optimization, sentence prediction, sentence classification, token classification, and question answering, implementing a simple example for each use case discussed. Lastly, you'll examine some fundamental guidelines for using BERT for content optimization.
WHAT YOU WILL LEARN
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discover the key concepts covered in this coursename practical approaches to improving search using BERTdescribe how BERT functions inside a search enginedemonstrate how BERT can be used to search the text of a given documentdescribe how we can use BERT for next sentence predictionuse BERT and Python for next sentence prediction via a PyTorch implementation of BERToutline how BERT can be used for sequence classificationwork with BERT to implement a sequence classifier
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describe how multiple-choice reading comprehension can be done using BERTuse BERT and Python to implement multiple choice examples via a PyTorch implementation of BERToutline how to utilize BERT for token classificationwork with BERT to implement a token classifierdescribe how to develop a question-answering machine using BERTwork with BERT to implement a question-answering machineoutline some fundamental guidelines for content optimization using BERTsummarize the key concepts covered in this course
IN THIS COURSE
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1.Course Overview2m 36sUP NEXT
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2.Search Improvement Using BERT3m 40s
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3.How BERT is Used in Searches2m 34s
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4.Implementing a Mini Search Engine Using BERT3m 28s
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5.BERT for Next Sentence Prediction2m 51s
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6.Using BERT and Python for Next Sentence Prediction3m 52s
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7.BERT for Sequence Classification3m 35s
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8.Implementing a Sequence Classifier Using BERT3m 41s
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9.BERT for Multiple Choice3m 30s
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10.Using BERT and Python for Multiple Choice4m 8s
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11.BERT for Token Classification2m 34s
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12.Implementing Token Classification Using BERT2m 49s
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13.BERT for Question Answering3m 26s
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14.Implementing Question-answering Machines Using BERT3m 7s
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15.Guidelines for Content Optimization Using Bert3m 6s
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16.Course Summary1m 12s
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