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].   Popularized by GPT-3 [32] , prompting has emerged as a viable alternative input format for NLP models.

NLP 52

NLP ML BERT Computational Linguistics 52

AWS Machine Learning Blog

AUGUST 8, 2024

By integrating LLMs, the WxAI team enables advanced capabilities such as intelligent virtual assistants, natural language processing (NLP), and sentiment analysis, allowing Webex Contact Center to provide more personalized and efficient customer support.

Generative AI 125

Generative AI LLM AI AI 125

ML @ CMU

SEPTEMBER 22, 2023

AdaTest provides an interface and a system for auditing language models inspired by the test-debug cycle in traditional software engineering. Trends Human Computer Interaction. [2] Adaptive Testing and Debugging of NLP Models. In CHI Conference on Human Factors in Computing Systems. [5]

Computational Linguistics 105

Computational Linguistics LLM Large Language Models Algorithm 105