Open Source LLM development is going through great change through fully reproducing and open-sourcing DeepSeek-R1, including training data, scripts, etc.…
Machine Learning
Generative modeling challenges in motion-controllable video generation present significant research hurdles. Current approaches in video generation struggle with precise motion…
Reinforcement learning (RL) focuses on enabling agents to learn optimal behaviors through reward-based training mechanisms. These methods have empowered systems…
As large language models (LLMs) continue to evolve, understanding their ability to reflect on and articulate their learned behaviors has…
AI has entered an era of the rise of competitive and groundbreaking large language models and multimodal models. The development…
The artificial intelligence (AI) landscape is evolving rapidly, but this growth is accompanied by significant challenges. High costs of developing…
Advancements in multimodal intelligence depend on processing and understanding images and videos. Images can reveal static scenes by providing information…
Comprehension and management of large-scale software repositories is a recurring problem in contemporary software development. Although current tools shine when…
As the adoption of generative AI continues to expand, developers face mounting challenges in building and deploying robust applications. The…
Heuristic designing is a practical and indispensable tool leveraged in standard fields like artificial intelligence and operations research to find…
Text-to-speech (TTS) technology has emerged as a critical tool for bridging the gap between human and machine interaction. The demand…
Artificial intelligence models have advanced significantly in recent years, particularly in tasks requiring reasoning, such as mathematics, programming, and scientific…
This paper introduces a framework, called EMOTION, for generating expressive motion sequences in humanoid robots, enhancing their ability to engage…
Nonverbal behaviors such as posture, gestures, and gaze are essential for conveying internal states, both consciously and unconsciously, in human…
A common use case with generative AI that we usually see customers evaluate for a production use case is a…
Amazon Bedrock has emerged as the preferred choice for tens of thousands of customers seeking to build their generative AI…
Academic paper search represents a critical yet intricate information retrieval challenge within research ecosystems. Researchers require complex search capabilities that…
By intertwining the development of artificial intelligence combined with large language models with reinforcement learning in high-performance computation, the newly…
Sequences are a universal abstraction for representing and processing information, making sequence modeling central to modern deep learning. By framing…
The study of autonomous agents powered by large language models (LLMs) has shown great promise in enhancing human productivity. These…