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Embed, encode, attend, predict: The new deep learning formula for state-of-the-art NLP models · Explosion
| | 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
| | swethatanamala.github.io
NLP - Neural Machine Translation by jointly learning to align and translate · Swetha's Blog
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| | In this paper, authors conjectured that the use of a fixed-length vector is a bottleneck in improving the performance of this basic encoder-decoder architecture. Therefore, authors extended the the basic...
| | kavita-ganesan.com
A Gentle Introduction to Deep Neural Networks with Python - Kavita Ganesan, PhD
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| | This article examines the parts that make up neural networks and deep neural networks, as well as the fundamental different types of models (e.g. regression), their constituent parts (and how they contribute to model accuracy), and which tasks they are designed to learn.
| | blog.adnansiddiqi.me
Introduction to LLM | Adnan's Random bytes
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| Learn the basics of Large Language Models (LLMs) in this introduction to GenAI series. Discover how LLMs work, their architecture, and practical applications like customer support, content creation, and software development.