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 123

Chatbots Computational Linguistics Large Language Models LLM 123

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. The performance of this methodology is evident in its results.

Computational Linguistics 124

Computational Linguistics OpenAI Large Language Models LLM 124

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 128

LLM Computational Linguistics Large Language Models Artificial Intelligence 128

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. Unicron’s methodology is an embodiment of innovation in LLM training resilience.

Computational Linguistics 122

Computational Linguistics Large Language Models LLM BERT 122

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 104

Automation Computational Linguistics Large Language Models Natural Language Processing 104

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 105

Categorization Computational Linguistics Large Language Models Machine Learning 105

Marktechpost

APRIL 20, 2024

Exploring the synergy between reinforcement learning (RL) and large language models (LLMs) reveals a vibrant area of computational linguistics. Stanford researchers have introduced Direct Preference Optimization (DPO), a streamlined method for LLMs.

Machine Learning 137

Machine Learning Computational Linguistics Large Language Models LLM 137

Bugra Akyildiz

JULY 16, 2023

Articles LLM Arena You want to use a chatbot or LLM, but you do not know which one to pick? Or you simply want to compare various LLMs in terms of capability? 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

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

Marek Rei

NOVEMBER 4, 2024

PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts Kaijie Zhu, Jindong Wang, Jiaheng Zhou, Zichen Wang, Hao Chen, Yidong Wang, Linyi Yang, Wei Ye, Yue Zhang, Neil Zhenqiang Gong, Xing Xie. The first step asks the LLM to rewrite the prompt to remove the irrelevant parts.

Machine Learning 80

Machine Learning NLP Large Language Models LLM 80

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

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 106

Natural Language Processing Machine Learning Computational Linguistics NLP 106

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. Why support human-LLM collaboration in auditing? How to support human-LLM collaboration in auditing?

Computational Linguistics 106

Computational Linguistics LLM Large Language Models Algorithm 106

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, leveraging LLMs to improve user productivity and experiences. To optimize its AI/ML infrastructure, Cisco migrated its LLMs to Amazon SageMaker Inference, improving speed, scalability, and price-performance.

Software Engineer 105

Software Engineer Large Language Models Generative AI Computational Linguistics 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. Webex works with the world’s leading business and productivity apps—including AWS.

Generative AI 120

Generative AI LLM AI AI 120