Marktechpost

MARCH 2, 2024

The emergence of Large Language Models (LLMs) has notably enhanced the domain of computational linguistics, particularly in multi-agent systems. Join our 38k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup. Check out the Paper.

Computational Linguistics 138

Computational Linguistics Large Language Models AI AI 138

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. Also, don’t forget to follow us on Twitter.

Automation 106

Automation Computational Linguistics Large Language Models Natural Language Processing 106

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. Also, don’t forget to follow us on Twitter. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup.

Categorization 105

Categorization Computational Linguistics Large Language Models Machine Learning 105

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. Check out the Paper and Project.

Chatbots 126

Chatbots Computational Linguistics Large Language Models LLM 126

Marktechpost

APRIL 20, 2024

Exploring the synergy between reinforcement learning (RL) and large language models (LLMs) reveals a vibrant area of computational linguistics. Don’t Forget to join our 40k+ ML SubReddit For Content Partnership, Please Fill Out This Form Here. Also, don’t forget to follow us on Twitter.

Machine Learning 137

Machine Learning Computational Linguistics Large Language Models LLM 137

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. Check out the Paper. All credit for this research goes to the researchers of this project.

Computational Linguistics 122

Computational Linguistics Large Language Models LLM BERT 122

Marktechpost

DECEMBER 26, 2023

Computational linguistics focuses on developing advanced language models capable of understanding and generating human language. This dynamic field integrates the latest in machine learning and artificial intelligence, striving to create models that grasp the intricacies of language.

Computational Linguistics 137

Computational Linguistics Artificial Intelligence Artificial Intelligence Machine Learning 137

Marktechpost

AUGUST 15, 2024

Given the intricate nature of metaphors and their reliance on context and background knowledge, MCI presents a unique challenge in computational linguistics. This framework leverages the power of large language models (LLMs) like ChatGPT to improve the accuracy and efficiency of MCI.

NLP 64

NLP Large Language Models Computational Linguistics Neural Network 64

Marktechpost

APRIL 29, 2024

In computational linguistics, much research focuses on how language models handle and interpret extensive textual data. These models are crucial for tasks that require identifying and extracting specific information from large volumes of text, presenting a considerable challenge in ensuring accuracy and efficiency.

Artificial Intelligence 109

Artificial Intelligence Artificial Intelligence Computational Linguistics Data Extraction 109

Sebastian Ruder

JANUARY 24, 2022

2021) 2021 saw many exciting advances in machine learning (ML) and natural language processing (NLP). Pre-trained models were applied in many different domains and started to be considered critical for ML research [1]. 8) ML for Science The architecture of AlphaFold 2.0. Credit for the title image: Liu et al.

NLP 52

NLP ML BERT Computational Linguistics 52

Marktechpost

AUGUST 12, 2023

This innovative tool was presented at the 2023 Association for Computational Linguistics (ACL) conference. Its primary purpose is quantifying and identifying biases within advanced generative models, like Stable Diffusion, which can magnify existing prejudices in the images generated. Check out the Paper and Project Page.

Computational Linguistics 98

Computational Linguistics Software Engineer Generative AI AI Research 98

Mlearning.ai

FEBRUARY 19, 2023

Natural Language Processing (NLP) NLP is subset of Artificial Intelligence that is concerned with helping machines to understand the human language. It combines techniques from computational linguistics, probabilistic modeling, deep learning to make computers intelligent enough to grasp the context and the intent of the language.

Auto-classification 52

Auto-classification Auto-complete Natural Language Processing NLP 52

Sebastian Ruder

NOVEMBER 14, 2022

Beyond individual languages, researchers with affiliations in countries where such languages are spoken are similarly under-represented in both ML and NLP communities. Representation of African NLP Researchers in top ML and NLP venues. *: does not consider African authors working abroad.

Natural Language Processing 52

Natural Language Processing NLP Computational Linguistics BERT 52

AWS Machine Learning Blog

MAY 22, 2023

Increasingly capable foundation models are being released continuously, with large language models (LLMs) being one of the most visible model classes. LLMs are models composed of billions of parameters trained on extensive corpora of text, up to hundreds of billions or even a trillion tokens.

Natural Language Processing 110

Natural Language Processing Machine Learning Computational Linguistics NLP 110

Snorkel AI

JUNE 14, 2023

Timo Mertens is the Head of ML and NLP Products at Grammarly. That ranges all the way from analytical and computational linguists to applied research scientists, machine learning engineers, data scientists, product managers, designers, UX researchers, and so on. A transcript of the talk follows. Thank you so much for having me.

Machine Learning 52

Machine Learning Natural Language Processing Data Scientist Computational Linguistics 52

Snorkel AI

JUNE 14, 2023

Timo Mertens is the Head of ML and NLP Products at Grammarly. That ranges all the way from analytical and computational linguists to applied research scientists, machine learning engineers, data scientists, product managers, designers, UX researchers, and so on. A transcript of the talk follows. Thank you so much for having me.

Machine Learning 52

Machine Learning Natural Language Processing Data Scientist Computational Linguistics 52

AWS Machine Learning Blog

AUGUST 8, 2024

In the past year, the team has increasingly focused on building artificial intelligence (AI) capabilities powered by large language models (LLMs) to improve productivity and experience for users. Praveen Chamarthi is a Senior AI/ML Specialist with Amazon Web Services. He is passionate about AI/ML and all things AWS.

Software Engineer 110

Software Engineer Large Language Models Generative AI Computational Linguistics 110

AWS Machine Learning Blog

AUGUST 8, 2024

Webex’s focus on delivering inclusive collaboration experiences fuels their innovation, which uses artificial intelligence (AI) and machine learning (ML), to remove the barriers of geography, language, personality, and familiarity with technology. Its solutions are underpinned with security and privacy by design.

Generative AI 124

Generative AI LLM AI AI 124

ML @ CMU

SEPTEMBER 22, 2023

Illustration depicting the process of a human and a large language model working together to find failure cases in a (not necessarily different) large language model. Trends Human Computer Interaction. [2] Adaptive Testing and Debugging of NLP Models. 2] Marco Tulio Ribeiro and Scott Lundberg.

Computational Linguistics 106

Computational Linguistics LLM Large Language Models Algorithm 106