Search results for "inference"

GPT-4o (“o” stands for Omni) is OpenAI's next-generation flagship multimodal large model, released in May 2024. It enables real-time inference across text, audio, images, and video, with an audio response time as fast as 232 milliseconds, approaching human conversational reaction speed. It possesses groundbreaking capabilities such as emotion perception, real-time translation, and image generation. Its API is twice as fast as GPT-4 Turbo, costs only half the price, and is available to all free ChatGPT users.

2026-07-14

InternLM is an open-source large model platform developed by Shanghai Artificial Intelligence Laboratory, designed to provide developers, researchers, and enterprises with high-performance, low-barrier AI model training and inference services. It supports multiple model architectures, offers extensive pre-trained models, fine-tuning tools, and deployment solutions, emphasizing safety, controllability, and ease of use. Whether for academic research or commercial applications, InternLM helps users quickly build customized AI solutions, promoting the democratization of artificial intelligence technology.

2026-07-22

CHAI is a leading AI platform focused on research and application in conversational generative artificial intelligence. Users can create their own AI characters and interactive stories on the platform, building personalized conversational experiences. Since its launch in 2022, CHAI was the first to launch a consumer AI character creation feature on the App Store, ahead of Character AI and ChatGPT. The platform operates on a B2C business model, achieving rapid growth through user subscriptions and in-platform incentives, reaching $70M/yr in revenue by 2026, with total funding exceeding $55M and a 1.4 ExaFLOP cluster supporting model training and inference.

2026-07-23

ZenMux is an innovative AI multi-model hybrid inference platform designed to optimize AI inference efficiency through intelligent routing and model composition. It supports simultaneous invocation of multiple large language models (LLMs), automatically selecting the optimal model or combination to balance cost, speed, and accuracy. Suitable for developers, AI researchers, and enterprises, it helps reduce API call costs, improve response speed, and enable more complex reasoning tasks. ZenMux provides flexible API interfaces and a visual dashboard for real-time monitoring and model switching.

2026-07-23

Meituan has officially open-sourced LongCat-2.0, a massive MoE model with 1.6 trillion parameters. This release achieves end-to-end training and inference deployment on a domestic computing cluster comprising 50,000 GPUs, thereby breaking reliance on overseas computing power. The announcement details LongCat-2.0's technical highlights, performance advantages, and industry value.

OpenAI is officially advancing the limited beta testing of its GPT-5.6 model series and has announced a partnership with Broadcom to co-develop "Jalapeño," a dedicated inference ASIC. The project targets tape-out within nine months and large-scale deployment by the end of 2026, aiming to slash inference costs by 50% and effectively completing the company's vertically integrated strategy combining models and chips.

OpenClaw Refactor Docs is a skill designed for the source-audit-driven refactoring of existing OpenClaw documentation pages. Building upon the `openclaw-docs` skill—which handles style, page types, examples, and validation—it introduces a refactoring workflow that mandates the preservation and verification of all behavioral facts during rewriting, restructuring, splitting, or streamlining; this ensures that accurate descriptions of system behavior are not lost in the process. It requires source-based verification (against source code, tests, or schemas) for all behavior-sensitive information—such as configuration fields, commands, default values, and permission rules—rather than relying on inferences based on names or intent.