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

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

ODSC - Open Data Science

APRIL 3, 2023

The goal of QA is to create models that can understand the nuances of a question and some given evidence documents to provide an accurate and concise answer. QA is a critical area of research in NLP, with numerous applications such as virtual assistants, chatbots, customer support, and educational platforms. Euro) in 2021.

Neural Network 117

Neural Network Natural Language Processing NLP Computational Linguistics 117

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

Sebastian Ruder

JANUARY 24, 2022

2021) 2021 saw many exciting advances in machine learning (ML) and natural language processing (NLP). If CNNs are pre-trained the same way as transformer models, they achieve competitive performance on many NLP tasks [28]. Credit for the title image: Liu et al. Why is it important?   What happened?  

NLP 52

NLP ML BERT Computational Linguistics 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. NLP is a branch of AI that focuses on the use of natural human language for various computing applications.

Auto-classification 52

Auto-classification Auto-complete Natural Language Processing NLP 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

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

Sebastian Ruder

NOVEMBER 14, 2022

Research models such as BERT and T5 have become much more accessible while the latest generation of language and multi-modal models are demonstrating increasingly powerful capabilities. At the same time, a wave of NLP startups has started to put this technology to practical use. In speech, wav2vec 2.0 [15]

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 120

Natural Language Processing Machine Learning Computational Linguistics NLP 120

John Snow Labs

DECEMBER 26, 2023

Sentiment analysis, a branch of natural language processing (NLP), has evolved as an effective method for determining the underlying attitudes, emotions, and views represented in textual information. The 49th Annual Meeting of the Association for Computational Linguistics (ACL 2011). Daly, Peter T.

Neural Network 52

Neural Network Computational Linguistics NLP Natural Language Processing 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.

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.

Machine Learning 52

Machine Learning Natural Language Processing Data Scientist Computational Linguistics 52

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. 3] Peter Pirolli and Stuart Card.

Computational Linguistics 105

Computational Linguistics LLM Large Language Models Algorithm 105

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 132

Generative AI LLM AI AI 132

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