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

Marktechpost

JANUARY 15, 2024

One persistent challenge is the translation of low-resource languages, which often need more substantial data for training robust models. Traditional translation models, primarily based on large language models (LLMs), perform well with languages abundant in data but need help with underrepresented languages.

Large Language Models 128

Large Language Models Data Scarcity Computational Linguistics Natural Language Processing 128

Marktechpost

JANUARY 30, 2024

Language Agents represent a transformative advancement in computational linguistics. They leverage large language models (LLMs) to interact with and process information from the external world.

Computational Linguistics 125

Computational Linguistics OpenAI Large Language Models LLM 125

Marktechpost

MARCH 2, 2024

The emergence of Large Language Models (LLMs) has notably enhanced the domain of computational linguistics, particularly in multi-agent systems. Despite the significant advancements, developing multi-agent applications remains a complex endeavor.

Computational Linguistics 137

Computational Linguistics Large Language Models AI AI 137

Topbots

JANUARY 30, 2023

In the last couple of years, Large Language Models (LLMs) such as ChatGPT, T5 and LaMDA have developed amazing skills to produce human language. We are quick to attribute intelligence to models and algorithms, but how much of this is emulation, and how much is really reminiscent of the rich language capability of humans?

Large Language Models 52

Large Language Models Computational Linguistics LLM Natural Language Processing 52

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.

Chatbots 126

Chatbots Computational Linguistics Large Language Models LLM 126

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 135

Computational Linguistics Artificial Intelligence Artificial Intelligence Machine Learning 135

Marktechpost

APRIL 20, 2024

Exploring the synergy between reinforcement learning (RL) and large language models (LLMs) reveals a vibrant area of computational linguistics.

Machine Learning 135

Machine Learning Computational Linguistics Large Language Models LLM 135

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.

Automation 106

Automation Computational Linguistics Large Language Models Natural Language Processing 106

Marktechpost

MARCH 22, 2024

The team has proposed a truly innovative approach to address these challenges: a data distillation procedure designed to distill essential information from large language models (LLMs) without compromising crucial details. Check out the Paper. All credit for this research goes to the researchers of this project.

Large Language Models 56

Large Language Models Computational Linguistics ML Artificial Intelligence 56

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.

Categorization 103

Categorization Computational Linguistics Large Language Models Machine Learning 103

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.

Computational Linguistics 117

Computational Linguistics Large Language Models LLM BERT 117

Marek Rei

NOVEMBER 4, 2024

It is probably good to also to mention that I wrote all of these summaries myself and they are not generated by any language models. Are Emergent Abilities of Large Language Models a Mirage? Do Large Language Models Latently Perform Multi-Hop Reasoning? Here we go. NeurIPS 2023. ArXiv 2024.

Machine Learning 80

Machine Learning NLP Large Language Models LLM 80

Marktechpost

JANUARY 22, 2024

Its innovative techniques and optimizations make it a standout performer, capable of handling large-scale language understanding tasks with remarkable speed and reliability. As technology advances, solutions like Marlin play an important role in pushing the boundaries of what’s possible in computational linguistics.

LLM 129

LLM Computational Linguistics Large Language Models Artificial Intelligence 129

NYU Center for Data Science

JANUARY 24, 2025

Rudner Receives Major Grant to Study Uncertainty Quantification in Large LanguageModels Large language models (LLMs) often express high confidence even when providing incorrect answers. CDS Faculty Member Tim G. This fundamental challenge in AI reliability motivated CDS faculty member Tim G.

Computational Linguistics 72

Computational Linguistics Large Language Models Neural Network Computer Vision 72

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. Karthik Raghunathan is the Senior Director for Speech, Language, and Video AI in the Webex Collaboration AI Group.

Software Engineer 124

Software Engineer Large Language Models Generative AI Computational Linguistics 124

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 111

Artificial Intelligence Artificial Intelligence Computational Linguistics Data Extraction 111

ODSC - Open Data Science

APRIL 3, 2023

In particular, we fine-tune a re-ranker model using only the relevant feedback from each query and obtained large performance gains in multiple domains, including news and COVID. Lastly, we are currently working on integrating recent works on Large Language Models such as ChatGPT. Euro) in 2021.

Neural Network 117

Neural Network Natural Language Processing NLP Computational Linguistics 117

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 60

NLP Large Language Models Computational Linguistics Neural Network 60

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.

Computational Linguistics 98

Computational Linguistics Software Engineer Generative AI AI Research 98

Google Research AI blog

JULY 10, 2023

Posted by Malaya Jules, Program Manager, Google This week, the 61st annual meeting of the Association for Computational Linguistics (ACL), a premier conference covering a broad spectrum of research areas that are concerned with computational approaches to natural language, is taking place online.

Large Language Models 93

Large Language Models Natural Language Processing NLP Computational Linguistics 93

ODSC - Open Data Science

MARCH 6, 2024

REGISTER NOW Building upon the exponential advancements in Deep Learning, Generative AI has attained mastery in Natural Language Processing. The driving force behind Generative AI and Large Language Models (LLMs) is Language Modeling, a Natural Language Processing technique that predicts the next word in a sequence of words.

Responsible AI 52

Responsible AI Generative AI Natural Language Processing Artificial Intelligence 52

Topbots

JUNE 15, 2023

Large language models such as ChatGPT process and generate text sequences by first splitting the text into smaller units called tokens. Language Disparity in Natural Language Processing This digital divide in natural language processing (NLP) is an active area of research. Shijie Wu and Mark Dredze.

Natural Language Processing 59

Natural Language Processing Computational Linguistics NLP ChatGPT 59

The Stanford AI Lab Blog

MAY 25, 2022

The 60th Annual Meeting of the Association for Computational Linguistics (ACL) 2022 is taking place May 22nd - May 27th. We’re excited to share all the work from SAIL that’s being presented, and you’ll find links to papers, videos and blogs below.

Computational Linguistics 40

Computational Linguistics BERT Robotics Large Language Models 40

Bugra Akyildiz

JULY 16, 2023

In here, the distinction is that base models want to complete documents(with a given context) where assistant models can be used/tricked into performing tasks with prompt engineering. Large language models (LLMs) have shown promise in proving formal theorems using proof assistants such as Lean.

LLM 52

LLM Chatbots Neural Network Large Language Models 52

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 Natural Language Processing Auto-complete NLP 52

AWS Machine Learning Blog

AUGUST 8, 2024

Cisco’s Webex AI (WxAI) team plays a crucial role in enhancing these products with AI-driven features and functionalities, using large language models (LLMs) to improve user productivity and experiences. Karthik Raghunathan is the Senior Director for Speech, Language, and Video AI in the Webex Collaboration AI Group.

Generative AI 125

Generative AI LLM AI ML 125

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.

Machine Learning 111

Machine Learning Natural Language Processing Computational Linguistics NLP 111

John Snow Labs

DECEMBER 26, 2023

The 49th Annual Meeting of the Association for Computational Linguistics (ACL 2011). The post Testing the Robustness of LSTM-Based Sentiment Analysis Models appeared first on John Snow Labs. Daly, Peter T. Pham, Dan Huang, Andrew Y. Ng, and Christopher Potts. Learning Word Vectors for Sentiment Analysis.

Neural Network 52

Neural Network Computational Linguistics NLP Machine Learning 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. Computational linguistics, 47(2), 255-308. Winata, G.

Natural Language Processing 52

Natural Language Processing NLP Computational Linguistics BERT 52

Sebastian Ruder

JANUARY 24, 2022

  One of the most notable applications of large language models this year was code generation, which saw with Codex [79] its first integration into a major product as part of GitHub Copilot. Other advances in pre-training models ranged from better pre-training objectives [80] [81] to scaling experiments [82] [83].

NLP 52

NLP ML BERT Computational Linguistics 52

Snorkel AI

JUNE 14, 2023

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. It’s clear how technology can help us in the advent of generative large language models.

Machine Learning 52

Machine Learning Natural Language Processing Data Scientist Computational Linguistics 52

Snorkel AI

JUNE 14, 2023

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. It’s clear how technology can help us in the advent of generative large language models.

Machine Learning 52

Machine Learning Natural Language Processing Data Scientist Computational Linguistics 52

Flipboard

SEPTEMBER 7, 2023

One of the best-known critiques of AI large language models, or LLMs, for example, compares AI’s lack of language understanding to that of an animal: the concept of the “stochastic parrot,” which refers to how chatbots, not having minds, spit out language based on probabilistic models with no regard for meaning.

AI 181

AI AI Computational Linguistics Chatbots 181

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 104

Computational Linguistics LLM Large Language Models Algorithm 104