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ML and NLP Research Highlights of 2021

Sebastian Ruder

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.

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How Cisco accelerated the use of generative AI with Amazon SageMaker Inference

AWS Machine Learning Blog

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.

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Supporting Human-AI Collaboration in Auditing LLMs with LLMs

ML @ CMU

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]