Researchers at the Institute of Computing Technology, Chinese Academy of Sciences, have introduced LLaMA-Omni2, a family of speech-capable large language models (SpeechLMs) now available on Hugging ...

LLMs have gained outstanding reasoning capabilities through reinforcement learning (RL) on correctness rewards. Modern RL algorithms for LLMs, including GRPO, VinePPO, and Leave-one-out PPO, have ...

As language models scale in parameter count and reasoning complexity, traditional centralized training pipelines face increasing constraints. High-performance model training often depends on tightly ...

Artificial intelligence has grown beyond language-focused systems, evolving into models capable of processing multiple input types, such as text, images, audio, and video. This area, known as ...

In this tutorial, we will guide you step-by-step through creating and publishing a sleek, modern AI blogging website using Lovable.dev. Lovable.dev simplifies website creation, enabling users to ...

The current generation of AI agents has made significant progress in automating backend tasks such as summarization, data migration, and scheduling. While effective, these agents typically operate ...

Semantic retrieval focuses on understanding the meaning behind text rather than matching keywords, allowing systems to provide results that align with user intent. This ability is essential across ...

In machine learning, sequence models are designed to process data with temporal structure, such as language, time series, or signals. These models track dependencies across time steps, making it ...

LLMs have made impressive gains in complex reasoning, primarily through innovations in architecture, scale, and training approaches like RL. RL enhances LLMs by using reward signals to guide the model ...

In this tutorial, we walk you through setting up a fully functional bot in Google Colab that leverages Anthropic’s Claude model alongside mem0 for seamless memory recall. Combining LangGraph’s ...

Large language models are now central to various applications, from coding to academic tutoring and automated assistants. However, a critical limitation persists in how these models are designed; they ...

Shape primitive abstraction, which breaks down complex 3D forms into simple, interpretable geometric units, is fundamental to human visual perception and has important implications for computer vision ...