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This blogpost discusses three papers from Stanford's Alexa Prize team on improving user experience and behavior. The papers cover topics such as understanding and predicting user dissatisfaction, handling offensive users, and increasing user initiative in socialbot conversations.

Updates and new features in the internal pull-based exception monitoring service Periskop in 2022.

Enhancing language model accuracy through instruction alignment

Exploring the integration of text and code embeddings for enhanced data representation

DeepMind: The Podcast returns for Season 2, exploring the latest breakthroughs, innovations, and challenges in AI.

Exploring the potential and creation of artificial intelligence (AI) in Season 2 of the DeepMind podcast.

Exploring the power of text and code embeddings through contrastive pre-training

Read about how to supervise the reward learning process for robots by leveraging crowd-sourced natural language descriptions of robot behavior and using diverse human videos from the web.

Exploring how multi-agent deep reinforcement learning can enhance learning of compliance and enforcement behavior in artificial agents to model complex social interactions and social norms.

Exploring how multi-agent deep reinforcement learning can model complex social interactions and create richer simulations.

AlphaFold is a groundbreaking AI system that accurately predicts protein structures, advancing scientific discovery and potentially revolutionizing disease treatment and environmental management.

The blogpost explains how Jane Street pairs interns to projects and teams during their software engineering internship.