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DeepSeek Researchers Open-Sourced a Personal Project named ‘nano-vLLM’: A Lightweight vLLM Implementation Built from Scratch
OpenAI

DeepSeek Researchers Open-Sourced a Personal Project named ‘nano-vLLM’: A Lightweight vLLM Implementation Built from Scratch

The DeepSeek Researchers just released a super cool personal project named ‘nano-vLLM‘, a minimalistic and efficient implementation of the vLLM (virtual Large Language...

Google Researchers Release Magenta RealTime: An Open-Weight Model for Real-Time AI Music Generation
OpenAI

Google Researchers Release Magenta RealTime: An Open-Weight Model for Real-Time AI Music Generation

Google’s Magenta team has introduced Magenta RealTime (Magenta RT), an open-weight, real-time music generation model that brings unprecedented interactivity to generative audio. Licensed...

IBM’s MCP Gateway: A Unified FastAPI-Based Model Context Protocol Gateway for Next-Gen AI Toolchains
OpenAI

IBM’s MCP Gateway: A Unified FastAPI-Based Model Context Protocol Gateway for Next-Gen AI Toolchains

The development and deployment of advanced AI systems increasingly depend on flexible, robust orchestration layers that bridge diverse models, tools, and resources. IBM’s...

Texas A&M Researchers Introduce a Two-Phase Machine Learning Method Named ‘ShockCast’ for High-Speed Flow Simulation with Neural Temporal Re-Meshing
OpenAI

Texas A&M Researchers Introduce a Two-Phase Machine Learning Method Named ‘ShockCast’ for High-Speed Flow Simulation with Neural Temporal Re-Meshing

Challenges in Simulating High-Speed Flows with Neural Solvers Modeling high-speed fluid flows, such as those in supersonic or hypersonic regimes, poses unique challenges...

This AI Paper Introduces WINGS: A Dual-Learner Architecture to Prevent Text-Only Forgetting in Multimodal Large Language Models
OpenAI

This AI Paper Introduces WINGS: A Dual-Learner Architecture to Prevent Text-Only Forgetting in Multimodal Large Language Models

Multimodal LLMs: Expanding Capabilities Across Text and Vision Expanding large language models (LLMs) to handle multiple modalities, particularly images and text, has enabled...

Mistral AI Releases Mistral Small 3.2: Enhanced Instruction Following, Reduced Repetition, and Stronger Function Calling for AI Integration
OpenAI

Mistral AI Releases Mistral Small 3.2: Enhanced Instruction Following, Reduced Repetition, and Stronger Function Calling for AI Integration

With the frequent release of new large language models (LLMs), there is a persistent quest to minimize repetitive errors, enhance robustness, and significantly...

Building Event-Driven AI Agents with UAgents and Google Gemini: A Modular Python Implementation Guide
OpenAI

Building Event-Driven AI Agents with UAgents and Google Gemini: A Modular Python Implementation Guide

In this tutorial, we demonstrate how to use the UAgents framework to build a lightweight, event-driven AI agent architecture on top of Google’s...

Why Generalization in Flow Matching Models Comes from Approximation, Not Stochasticity
OpenAI

Why Generalization in Flow Matching Models Comes from Approximation, Not Stochasticity

Introduction: Understanding Generalization in Deep Generative Models Deep generative models, including diffusion and flow matching, have shown outstanding performance in synthesizing realistic multi-modal...