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Large Language Models – Technical Overview

Viso.ai

Categorization of LLMs – Source One of the most common examples of an LLM is a virtual voice assistant such as Siri or Alexa. This early research was not about designing a system but exploring the fundamentals of Artificial Neural Networks. Both contain self-attention mechanisms and feed-forward neural networks.

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Testing the Robustness of LSTM-Based Sentiment Analysis Models

John Snow Labs

On the other hand, Sentiment analysis is a method for automatically identifying, extracting, and categorizing subjective information from textual data. Sentiment Analysis Using Simplified Long Short-term Memory Recurrent Neural Networks. The 49th Annual Meeting of the Association for Computational Linguistics (ACL 2011).

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Natural Language Processing with R

Heartbeat

Natural Language Processing (NLP) plays a crucial role in advancing research in various fields, such as computational linguistics, computer science, and artificial intelligence. Supported tools include a Name finder, Tokenizer, Document categorization, POS tagger, Parser, Chunker, and Sentence detector.