Salesforce AI Released APIGen-MT and xLAM-2-fc-r Model Series: Advancing Multi-Turn Agent Training with Verified Data Pipelines and Scalable LLM Architectures AI agents quickly become core components in handling complex human interactions, particularly in business environments where conversations span multiple turns and involve task execution, information extraction, and adherence to specific procedural rules. Unlike traditional chatbots… →

Huawei Noah’s Ark Lab Released Dream 7B: A Powerful Open Diffusion Reasoning Model with Advanced Planning and Flexible Inference Capabilities LLMs have revolutionized artificial intelligence, transforming various applications across industries. Autoregressive (AR) models dominate current text generation, with leading systems like GPT-4, DeepSeek, and Claude all using sequential left-to-right architectures. Despite impressive capabilities, fundamental questions about next-generation architectural… →

This AI Paper from ByteDance Introduces MegaScale-Infer: A Disaggregated Expert Parallelism System for Efficient and Scalable MoE-Based LLM Serving Large language models are built on transformer architectures and power applications like chat, code generation, and search, but their growing scale with billions of parameters makes efficient computation increasingly challenging. Scaling such systems while maintaining low… →

Sensor-Invariant Tactile Representation for Zero-Shot Transfer Across Vision-Based Tactile Sensors Tactile sensing is a crucial modality for intelligent systems to perceive and interact with the physical world. The GelSight sensor and its variants have emerged as influential tactile technologies, providing detailed information about contact surfaces by transforming tactile data into visual images. However, vision-based tactile… →