About [ICLR 2026] RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning.

Once you have connected to the Realtime API through either WebRTC or WebSocket, you can call a Realtime model (such as gpt-realtime) to have speech-to-speech conversations. Doing so will require …

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc. - pytorch/examples

This example demonstrates how to use the sub-pixel convolution layer described in Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network paper.

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Jun 17, 2025 · YOLOv12 surpasses all popular real-time object detectors in accuracy with competitive speed. For example, YOLOv12-N achieves 40.6% mAP with an inference latency of 1.64 ms on a T4 …

Apr 28, 2025 · The OpenAI Realtime API enables low-latency, multimodal interactions including speech-to-speech conversational experiences and real-time transcription. The Realtime API can also be …

Learn how real-time systems use task prioritization to process workloads within a defined time boundary and help reduce risk of system failure.

Jan 22, 2026 · This article describes what Databricks recommends for batch inference. For real-time model serving on Azure Databricks, see Deploy models using Mosaic AI Model Serving.

This is an AI sample for training and evaluating a time series forecasting model; we develop a program to forecast time series data that has seasonal cycles.