Sparse large language models (LLMs) based on the Mixture of Experts (MoE) framework have gained traction for their ability to […]
Category: Large Language Model
ZeroSearch from Alibaba Uses Reinforcement Learning and Simulated Documents to Teach LLMs Retrieval Without Real-Time Search
Large language models are now central to various applications, from coding to academic tutoring and automated assistants. However, a critical […]
Enterprise AI Without GPU Burn: Salesforce’s xGen-small Optimizes for Context, Cost, and Privacy
Language processing in enterprise environments faces critical challenges as business workflows increasingly depend on synthesising information from diverse sources, including […]
AI That Teaches Itself: Tsinghua University’s ‘Absolute Zero’ Trains LLMs With Zero External Data
LLMs have shown advancements in reasoning capabilities through Reinforcement Learning with Verifiable Rewards (RLVR), which relies on outcome-based feedback rather […]
ServiceNow AI Released Apriel-Nemotron-15b-Thinker: A Compact Yet Powerful Reasoning Model Optimized for Enterprise-Scale Deployment and Efficiency
AI models today are expected to handle complex tasks such as solving mathematical problems, interpreting logical statements, and assisting with […]
Ming-Lite-Uni: An Open-Source AI Framework Designed to Unify Text and Vision through an Autoregressive Multimodal Structure
Multimodal AI rapidly evolves to create systems that can understand, generate, and respond using multiple data types within a single […]
NVIDIA Open-Sources Open Code Reasoning Models (32B, 14B, 7B)
NVIDIA continues to push the boundaries of open AI development by open-sourcing its Open Code Reasoning (OCR) model suite — […]
Hugging Face Releases nanoVLM: A Pure PyTorch Library to Train a Vision-Language Model from Scratch in 750 Lines of Code
In a notable step toward democratizing vision-language model development, Hugging Face has released nanoVLM, a compact and educational PyTorch-based framework […]
This AI Paper Introduce WebThinker: A Deep Research Agent that Empowers Large Reasoning Models (LRMs) for Autonomous Search and Report Generation
Large reasoning models (LRMs) have shown impressive capabilities in mathematics, coding, and scientific reasoning. However, they face significant limitations when […]
LLMs Can Now Talk in Real-Time with Minimal Latency: Chinese Researchers Release LLaMA-Omni2, a Scalable Modular Speech Language Model
Researchers at the Institute of Computing Technology, Chinese Academy of Sciences, have introduced LLaMA-Omni2, a family of speech-capable large language […]