The efficacy of deep reinforcement learning (RL) agents critically depends on their ability to utilize network parameters efficiently. Recent insights have cast light on deep RL agents’ challenges, notably their tendency to underutilize network parameters, leading to...

Language Models have been significant in recent years, developing more sophisticated and capable models. These models have a role to play in various applications, including language generation, data analysis, and predictive modeling, showcasing their versatility and...

In today’s digital era, video content reigns supreme, capturing the essence of storytelling, education, and entertainment across various platforms. The journey from raw footage to a polished video is fraught with obstacles, especially for novices. Traditional video...

Google researchers address the challenge of maintaining the correctness of differentially private (DP) mechanisms by introducing a large-scale library for auditing differential privacy, DP-Auditorium. Differential privacy is essential for protecting data privacy with...

Language models, the engines behind advancements in natural language processing, have increasingly become a focal point in AI research. These complex systems, capable of understanding, generating, and interacting using human-like language, have revolutionized how...

Large language models can accomplish tasks that surpass current paradigms, such as reading code at the repository level, modeling long-history dialogs, and powering autonomous agents with language models with a context window of 128K tokens. The recent...