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Look inside
In this liveProject, you’ll apply premade transfer learning models to improve the context understanding of your search. You’ll implement BERT (Bidirectional Encoder Representations from Transformers) to create a semantic search engine. BERT excels in many traditional NLP tasks, like search, summarization and question answering. It will allow your search engine to find documents with terms that are contextually related to what your user is searching for, rather than just exact word occurrence.
This project is designed for learning purposes and is not a complete, production-ready application or solution.
book resources
When you start your liveProject, you get full access to the following books for 90 days.
prerequisites
This liveProject is for intermediate Python programmers familiar with the basics of manipulations with strings, lists and dictionaries. To begin this liveProject you will need to be familiar with:TOOLS
- Intermediate Python
- Basic understanding of conda environments
- Basic PyTorch
- Reading data from and writing to JSON files
- Manipulations with tuples, lists and dictionaries using loops and comprehensions
- Natural language processing tokenization, lemmatization, and cleaning of text data
- Basic NumPy array operations
- Basic understanding of tensor operations and machine learning with PyTorch
you will learn
In this liveProject, you will apply multiple libraries to create a semantic search engine with BERT. BERT’s advantages in a semantic learning environment have revolutionized NLP, as it empowers users to find similar documents based on context.- Vectorize documents with DistilBERT
- Create an inverted index with Faiss library
- Encode and search documents with a sentence-transformers library
- Fine-tune factual question-answering tasks with pretrained BERT models
features
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- You choose the schedule and decide how much time to invest as you build your project.
- Project roadmap
- Each project is divided into several achievable steps.
- Get Help
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- Compare with others
- For each step, compare your deliverable to the solutions by the author and other participants.
- book resources
- Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.
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Implement Semantic Search with ML and BERT project for free
Implement Semantic Search with ML and BERT project for free
team
monthly
annual
$49.99
$499.99
only $41.67 per month
- five seats for your team
- access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
- choose another free product every time you renew
- choose twelve free products per year
- exclusive 50% discount on all purchases
-
![]()
Implement Semantic Search with ML and BERT project for free
