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Recently, the Doubao APP, web version, and desktop version platforms have introduced a new feature test - the 'In-Depth Research' feature has been officially launched, offering users free trial. This feature aims to help users efficiently handle complex tasks by quickly integrating massive in-depth information and generating detailed research reports or visualized web results.

Recently, Volc Engine officially announced the launch of the enterprise AI mid-platform HiAgent 2.0, aiming to address real-world business needs and pain points in the development of Agent applications, helping enterprises achieve efficient delivery of intelligent bodies from development to operations. HiAgent 2.0 is positioned as an enterprise AI mid-platform, and compared to its predecessor HiAgent 1.0, it has expanded in four dimensions of functionality. Upwardly, HiAgent 2.0 provides more industry scenario templates and a rich plugin market, significantly lowering the barrier to building intelligent bodies; towards

Xiyu Technology announced the launch of its latest R&D achievement - Hailuo Video Agent, an intelligent assistant for video creation aimed at simplifying the video creation process and enhancing creation efficiency, and has officially opened a beta version for user experience.

On June 18th, the artificial intelligence research institute OpenAI officially open-sourced its customer service agent framework, marking an important step in the company's layout of enterprise-level AI solutions. This framework aims to promote the practical commercial application of intelligent agent systems from laboratory environments to real-world scenarios by providing transparent toolchains and clear implementation examples.

Artificial intelligence research company Anthropic recently announced its latest progress in explainable AI (Interpretable AI) technology, which aims to make the decision-making process of large language models more transparent. This breakthrough may have a profound impact on how enterprises formulate strategies for applying large language models. The core technology breakthrough developed by Anthropic allows researchers to understand the model's thinking process and trace the underlying logic leading to specific conclusions.

An artificial intelligence research company, Anthropic, is developing AI systems with 'explainability' that enables users to understand the decision-making processes of large language models (LLMs). This breakthrough research may have a profound impact on enterprises' strategies for applying large language models. Breakthrough Technology: Peering into the AI 'Black Box' Anthropic's research focuses on solving the 'black box' problem of current generative AI systems.

Learn how AICosts.ai helps businesses manage the costs of AI services like ChatGPT and Claude, addressing core issues such as fragmented billing management across multiple platforms, cost anomaly monitoring, and cross-platform optimization.

This comprehensive review of the Solar AI development tool examines how it generates complete applications via natural language input, reducing 83% of development time. Explore Solar's core features, use cases, and comparisons with mainstream tools to determine if it can truly deliver on its 'light-speed development' promise.

A comprehensive analysis of MCP Stack's open-source marketing cloud platform functions, detailing its technical advantages in multi-channel integration, AI automated marketing, real-time data analysis, and providing implementation suggestions for enterprise-level marketing automation solutions.

Alibaba Group announced the release of an upgraded version of its flagship AI model Qwen3, which has successfully been adapted to Apple's MLX architecture. This indicates that the launch of Apple Intelligence in the Chinese market may be imminent. According to Alibaba, the new Qwen3 version boasts stronger performance, supporting 119 languages and dialects, further enhancing user experience. In the previous iOS 18.4 update, Apple Intelligence had already started supporting Simplified Chinese, but its generation ...

Recently, an open-source RAG (Retrieval-Augmented Generation) engine called RAGFlow has attracted significant attention in the industry. This enterprise-level AI tool, based on deep document understanding, provides companies with a brand-new solution for processing complex documents and achieving precise question answering through its powerful multimodal data processing capabilities and efficient workflows. RAGFlow: The Pioneer of Deep Document Understanding RAGFlow is a fully open-source RAG engine that focuses on deep document understanding, aiming to help businesses and individuals extract valuable information from massive amounts of unstructured data.

Figma officially announced the launch of the Beta version of its Dev Mode MCP (Model Context Protocol) server, marking further integration between design and development workflows. This service standardizes the protocol for directly transmitting Figma design data to AI coding tools, significantly improving the efficiency and accuracy of converting design into code. The Dev Mode MCP service is now officially available, with the Figma Dev Mode MCP server already in Beta.