OpenAI

2297 Articles
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...

Meta AI Researchers Introduced a Scalable Byte-Level Autoregressive U-Net Model That Outperforms Token-Based Transformers Across Language Modeling Benchmarks
OpenAI

Meta AI Researchers Introduced a Scalable Byte-Level Autoregressive U-Net Model That Outperforms Token-Based Transformers Across Language Modeling Benchmarks

Language modeling plays a foundational role in natural language processing, enabling machines to predict and generate text that resembles human language. These models...

Building an A2A-Compliant Random Number Agent: A Step-by-Step Guide to Implementing the Low-Level Executor Pattern with Python
OpenAI

Building an A2A-Compliant Random Number Agent: A Step-by-Step Guide to Implementing the Low-Level Executor Pattern with Python

The Agent-to-Agent (A2A) protocol is a new standard by Google that enables AI agents—regardless of their underlying framework or developer—to communicate and collaborate...