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.

Categorization 105

Categorization Computational Linguistics Large Language Models Machine Learning 105

Marktechpost

JANUARY 4, 2024

The development of Large Language Models (LLMs), such as GPT and BERT, represents a remarkable leap in computational linguistics. Training these models, however, is challenging. The system’s error detection mechanism is designed to identify and categorize failures during execution promptly.

Computational Linguistics 122

Computational Linguistics Large Language Models LLM BERT 122

Viso.ai

JULY 18, 2024

What are Large Language Models (LLMs)? In generative AI, human language is perceived as a difficult data type. If a computer program is trained on enough data such that it can analyze, understand, and generate responses in natural language and other forms of content, it is called a Large Language Model (LLM).

Large Language Models 52

Large Language Models Neural Network Natural Language Processing BERT 52

Flipboard

SEPTEMBER 7, 2023

While we can only guess whether some powerful future AI will categorize us as unintelligent, what’s clear is that there is an explicit and concerning contempt for the human animal among prominent AI boosters. Humans, like animals, are vulnerable, breakable creatures who can only thrive within a specific set of physical and social constraints.

AI 181

AI AI Computational Linguistics Chatbots 181

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. The 49th Annual Meeting of the Association for Computational Linguistics (ACL 2011). Daly, Peter T. Pham, Dan Huang, Andrew Y. Ng, and Christopher Potts.

Neural Network 52

Neural Network Computational Linguistics NLP Natural Language Processing 52

Sebastian Ruder

NOVEMBER 14, 2022

Cross-lingual performance prediction [42] could be used to estimate performance for a broader set of languages. Multilingual vs English-centric models   Let us now take a step back and look at recent large language models in NLP in general. Joshi et al. [92] Vulić, I., & Søgaard, A. Winata, G.

Natural Language Processing 52

Natural Language Processing NLP Computational Linguistics BERT 52