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 towardsml.wordpress.com
BERT Explained: A Complete Guide with Theory and Tutorial - Towards Machine Learning
| | mccormickml.com
BERT Word Embeddings Tutorial ยท Chris McCormick
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| | [AI summary] The tutorial provides a comprehensive guide to extracting and analyzing BERT embeddings. It begins with tokenization and segment embedding creation, followed by the calculation of word and sentence embeddings using different strategies such as summation and averaging of hidden layers. The context-dependent nature of BERT embeddings is demonstrated by comparing vectors for the word 'bank' in different contexts. The tutorial also discusses pooling strategies, layer choices, and the importance of context in generating meaningful embeddings. It concludes with considerations for special tokens, out-of-vocabulary words, similarity metrics, and implementation options.
| | research.google
Open Sourcing BERT: State-of-the-Art Pre-training for Natural Language Processin
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| | Posted by Jacob Devlin and Ming-Wei Chang, Research Scientists, Google AI Language One of the biggest challenges in natural language processing (NL...
| | joeddav.github.io
Zero-Shot Learning in Modern NLP | Joe Davison Blog
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| | State-of-the-art NLP models for text classification without annotated data
| | haifengl.wordpress.com
LLM | Haifeng's Random Walk
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| Generative artificial intelligence (GenAI), especially ChatGPT, captures everyone's attention. The transformerbased large language models (LLMs), trained on a vast quantity of unlabeled data at scale, demonstrate the ability to generalize to many different tasks. To understand why LLMs are so powerful, we will deep dive into how they work in this post. LLM Evolutionary Tree...