Target Expands OpenAI Partnership With ChatGPT Shopping App
Target is deepening its partnership with OpenAI through a new ChatGPT shopping app and broader enterprise use of frontier models to streamline operations and improve guest experiences.
Latency measures the delay between an AI request and the resulting response. Interactive generative systems often track time to first token, which reflects how quickly output begins, and time to last token, which captures total completion time. Latency comes from model computation, queueing, network transfer, retrieval, tool calls, safety checks, and application logic. It varies with prompt length, output length, model size, hardware, batching, cache use, and current load. Optimizing only average latency can hide poor experiences, so teams also monitor percentile values and separate each stage of the request. The right target depends on whether the product is conversational, analytical, offline, or safety-critical.
Target is deepening its partnership with OpenAI through a new ChatGPT shopping app and broader enterprise use of frontier models to streamline operations and improve guest experiences.
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OpenAI introduces group chat for ChatGPT, letting users collaborate in shared conversations with GPT‑5.1 Auto handling responses, image generation, and more.
Alibaba.com unveiled AI Mode at CoCreate Europe, integrating agentic AI into its platform to help businesses discover suppliers, optimize sourcing, and automate trade processes.
Google is introducing new AI-powered shopping experiences, including conversational search, agentic checkout, and Duplex-based store calls, designed to make online shopping faster, easier, and more natural ahead of the holiday season.