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Researchers at UC Santa Cruz Propose a Novel Text-to-Image Association Test Tool that Quantifies the Implicit Stereotypes between Concepts and Valence and Those in the Images

Marktechpost

This innovative tool was presented at the 2023 Association for Computational Linguistics (ACL) conference. The researchers anticipate that this approach will equip software engineers with more precise measurements of biases in their models, aiding in identifying and rectifying biases in AI-generated content.

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FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation

Google Research AI blog

Posted by Parker Riley, Software Engineer, and Jan Botha, Research Scientist, Google Research Many languages spoken worldwide cover numerous regional varieties (sometimes called dialects), such as Brazilian and European Portuguese or Mainland and Taiwan Mandarin Chinese.

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ML and NLP Research Highlights of 2021

Sebastian Ruder

  Being able to automatically synthesize complex programs is useful for a wide variety of applications such as supporting software engineers.   It is still an open question how much code generation models improve the workflow of software engineers in practice [85]. What’s next?   Schneider, R.,

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Cisco achieves 50% latency improvement using Amazon SageMaker Inference faster autoscaling feature

AWS Machine Learning Blog

About the Authors Travis Mehlinger is a Principal Software Engineer in the Webex Collaboration AI group, where he helps teams develop and operate cloud-native AI and ML capabilities to support Webex AI features for customers around the world.In

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

AWS Machine Learning Blog

About the Authors Travis Mehlinger is a Principal Software Engineer in the Webex Collaboration AI group, where he helps teams develop and operate cloud-centered AI and ML capabilities to support Webex AI features for customers around the world.

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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] In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). [3]