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Guidelines for implementing efficient language model deployments

Advocating for LGBTQ+ inclusion in AI research and advancing 'queer fairness' and human-AI collaboration.

Advocating for LGBTQ+ community through AI research, exploring queer fairness, human-AI collaboration, and AI's impact on LGBTQ+ community.

Improving language model training with document link to capture multi-hop knowledge and dependencies between multiple documents.

AI's potential to drive innovation in personal assistant devices and sign language

Exploring methods for verbalizing uncertainty in AI models

Exploring techniques for teaching models to communicate their uncertainty through natural language

A method called the Standardised Test Suite (STS) is developed for evaluating agents in multimodal interactions, allowing for control and speed in measuring progress.

Assessing existing evaluation metrics and introducing a novel approach called the Standardised Test Suite (STS) that uses real human interaction data.

Dynamic language understanding: adaptation to new knowledge in parametric and semi-parametric models

Kyrgyzstan to King’s Cross: the star baker cooking up code - A software engineer at DeepMind shares her journey from Central Asia to the tech industry and discusses her passion for learning, mentoring, and diversity.

This blogpost discusses the new features and updates in Chrome 103 beta, including early hints for navigation, origin trials, completed origin trials, and various other features.