Liquid AI Releases LFM2.5-VL-450M: a 450M-Parameter Vision-Language Model with Bounding Box Prediction, Multilingual Support, and Sub-250ms Edge Inference
Source: MarkTechPost Liquid AI just released LFM2.5-VL-450M, an updated version of its earlier LFM2-VL-450M vision-language model. The new...
Researchers from MIT, NVIDIA, and Zhejiang University Propose TriAttention: A KV Cache Compression Method That Matches Full Attention at 2.5× Higher Throughput
Source: MarkTechPost Long-chain reasoning is one of the most compute-intensive tasks in modern large language models. When a...
How to Build a Secure Local-First Agent Runtime with OpenClaw Gateway, Skills, and Controlled Tool Execution
Source: MarkTechPost In this tutorial, we build and operate a fully local, schema-valid OpenClaw runtime. We configure the...
How Knowledge Distillation Compresses Ensemble Intelligence into a Single Deployable AI Model
Source: MarkTechPost Complex prediction problems often lead to ensembles because combining multiple models improves accuracy by reducing variance...
Alibaba’s Tongyi Lab Releases VimRAG: a Multimodal RAG Framework that Uses a Memory Graph to Navigate Massive Visual Contexts
Source: MarkTechPost Retrieval-Augmented Generation (RAG) has become a standard technique for grounding large language models in external knowledge...
A Coding Guide to Markerless 3D Human Kinematics with Pose2Sim, RTMPose, and OpenSim
Source: MarkTechPost In this tutorial, we build and run a complete Pose2Sim pipeline on Colab to understand how...
NVIDIA Releases AITune: An Open-Source Inference Toolkit That Automatically Finds the Fastest Inference Backend for Any PyTorch Model
Source: MarkTechPost Deploying a deep learning model into production has always involved a painful gap between the model...
Five AI Compute Architectures Every Engineer Should Know: CPUs, GPUs, TPUs, NPUs, and LPUs Compared
Source: MarkTechPost Modern AI is no longer powered by a single type of processor—it runs on a diverse...
An End-to-End Coding Guide to NVIDIA KVPress for Long-Context LLM Inference, KV Cache Compression, and Memory-Efficient Generation
Source: MarkTechPost In this tutorial, we take a detailed, practical approach to exploring NVIDIA’s KVPress and understanding how...
Meta Superintelligence Lab Releases Muse Spark: A Multimodal Reasoning Model With Thought Compression and Parallel Agents
Source: MarkTechPost Meta Superintelligence Labs recently made a significant move by unveiling ‘Muse Spark’ — the first model...