BERT Demystified | Leveraging Pre-trained Bert to generate Entity Embeddings across domain | NLP LLM
Channel: DataTrek
Date: 2023-03-24

#NLP  #llm #machinelearning #artificialintelligence #deeplearning #datascience #machinelearning #artificialintelligence #analytics #statistics 


Kaggle Notebook: https://www.kaggle.com/code/abhishekmungoli/ecommerce-product-descriptions-embedding/notebook
Train your own Product Embeddings | Embeddings across Domains | Training on 1.02 Billion rows on GPU: https://youtu.be/DN4S96oHRhE
Approximate Nearest Neighbour and a popular Library Annoy for k-Nearest Neighbour Search: https://youtu.be/DSQOrBTqmYA
Approximate Nearest Neighbor and Product Quantizer for k-Nearest Neighbor | Embeddings Search: https://youtu.be/50PNumB7s3U

In this video, we dive into the world of BERT, a powerful natural language processing (NLP) model that has revolutionized the field. We explore how BERT works, including the training process using both masked language modeling (MLM) and next sentence prediction (NSP), and then demonstrate how you can use a pre-trained BERT model to generate entity embeddings for various applications, such as for e-commerce products, songs or videos.

Throughout the video, we provide a step-by-step guide to using BERT to generate embeddings and showcase the benefits of this approach, including improved accuracy and speed. We also provide a coding exercise at the end of the video, along with the code required to follow along.

Whether you're an experienced data scientist or just starting out, this video is a must-watch for anyone interested in the latest developments in NLP and how they can be applied to real-world applications. So, grab your notebook and get ready to dive into the exciting world of BERT!

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