AI Computational Linguistics Large Language Models Natural Language Processing 
Marktechpost
MAY 11, 2024
With the significant advancement in the fields of Artificial Intelligence (AI) and Natural Language Processing (NLP), Large Language Models (LLMs) like GPT have gained attention for producing fluent text without explicitly built grammar or semantic modules.
AssemblyAI
SEPTEMBER 18, 2023
Few technological advancements have captured the imagination, curiosity, and application of experts and businesses quite like artificial intelligence (AI). However, among all the modern-day AI innovations, one breakthrough has the potential to make the most impact: large language models (LLMs).
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Marktechpost
JULY 15, 2023
The advent of large language models (LLMs) has sparked significant interest among the public, particularly with the emergence of ChatGPT. These models, which are trained on extensive amounts of data, can learn in context, even with minimal examples. Strikingly, even after removing up to 70% (around 15.7
Marktechpost
JANUARY 15, 2024
Machine translation, an integral branch of Natural Language Processing, is continually evolving to bridge language gaps across the globe. One persistent challenge is the translation of low-resource languages, which often need more substantial data for training robust models.
Marktechpost
MAY 13, 2024
Tokenization is essential in computational linguistics, particularly in the training and functionality of large language models (LLMs). This process involves dissecting text into manageable pieces or tokens, which is foundational for model training and operations. Check out the Paper.
Topbots
JANUARY 30, 2023
400k AI-related online texts since 2021) Disclaimer: This article was written without the support of ChatGPT. In the last couple of years, Large Language Models (LLMs) such as ChatGPT, T5 and LaMDA have developed amazing skills to produce human language. At some point, listening is not enough.
Marktechpost
MARCH 12, 2024
The advent of large language models (LLMs) has ushered in a new era in computational linguistics, significantly extending the frontier beyond traditional natural language processing to encompass a broad spectrum of general tasks. If you like our work, you will love our newsletter.
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