Marktechpost

MAY 14, 2024

Research in computational linguistics continues to explore how large language models (LLMs) can be adapted to integrate new knowledge without compromising the integrity of existing information. The study’s findings demonstrate the effectiveness of the SliCK categorization in enhancing the fine-tuning process.

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Categorization Computational Linguistics Large Language Models Machine Learning 104

Towards AI

MARCH 28, 2023

if this statement sounds familiar, you are not foreign to the field of computational linguistics and conversational AI. In this article, we will dig into the basics of Computational Linguistics and Conversational AI and look at the architecture of a standard Conversational AI pipeline.

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Marktechpost

JANUARY 4, 2024

The development of Large Language Models (LLMs), such as GPT and BERT, represents a remarkable leap in computational linguistics. The computational intensity required and the potential for various failures during extensive training periods necessitate innovative solutions for efficient management and recovery.

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Heartbeat

FEBRUARY 8, 2023

Natural Language Processing (NLP) plays a crucial role in advancing research in various fields, such as computational linguistics, computer science, and artificial intelligence. Because of its consistent syntax and human-like language, it is also one of the languages that are easiest for beginners to learn.

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John Snow Labs

DECEMBER 26, 2023

On the other hand, Sentiment analysis is a method for automatically identifying, extracting, and categorizing subjective information from textual data. Sentiment analysis can uncover the underlying sentiments that impact people’s perceptions and decisions by utilizing different NLP and machine learning approaches. Daly, Peter T.

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Neural Network Computational Linguistics NLP Natural Language Processing 52

Viso.ai

JULY 18, 2024

Machine learning especially Deep Learning is the backbone of every LLM. LLMs apply powerful Natural Language Processing (NLP), machine translation, and Visual Question Answering (VQA). Categorization of LLMs – Source One of the most common examples of an LLM is a virtual voice assistant such as Siri or Alexa.

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Large Language Models Neural Network Natural Language Processing BERT 52

Sebastian Ruder

NOVEMBER 14, 2022

For instance, while we can observe a slight upward trend in the number of authors affiliated with African universities publishing at top machine learning (ML) and NLP venues, this increase pales compared to the thousands of authors from other regions publishing in such venues every year. Journal of Machine Learning Research, 21.

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