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Since July, Xiaomi App Store will gradually open AI intelligent agent distribution services to users. After opening the Xiaomi App Store APP, users can click on the newly added 【Intelligent Agent】 entry at the bottom to directly access the special zone and browse and experience various practical and interesting AI intelligent agent products. At the same time, users can also quickly locate the desired service through the search function. The entire process does not require downloading or installing, truly achieving the convenient experience of "instant use." This innovative model not only lowers the threshold for users to access AI services, but also enhances the efficiency of service delivery through scenario-based recommendations. It is worth noting that

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

Recently, a media outlet revealed that the user growth team at ByteDance developed an AI product called 'Tante Fan'. This product uses the large model

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.

Recently, AI Infrastructure company SiliconBase Flow officially announced a strategic cooperation with Alibaba Cloud. SiliconBase Flow has joined the "Alibaba Cloud Flower Program" and entered the Alibaba Cloud Marketplace. This collaboration marks the beginning of deep cooperation in the AI field, working together to promote the development of large model services. According to the cooperation content, the core API services of SiliconBase Flow's large model inference platform, SiliconCloud, will fully integrate into Alibaba Cloud Bailian Platform, supported by Alibaba Cloud Lingjun Intelligent Computing Clusters, providing convenient and efficient large model services for cloud customers.

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.

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.

Google Cloud services experienced a severe outage worldwide, causing many large internet services to become paralyzed or interrupted. The wide impact of this outage left many users frustrated. According to Google Cloud's status page, the fault occurred at 10:51 AM Pacific Time, after which the Google Cloud team immediately initiated an investigation into the issue. Image source notes: The image is generated by AI, and the image license service provider Midjourney was affected after the incident. Google engineers stated that they are continuously making efforts to restore the service. However, as time went on...

Recently, a serious global outage occurred in the Google Cloud service, affecting several large internet platforms including OpenAI and Shopify. This downtime impacted users in the United States, Europe, and Asia, with 13 core services from Google Cloud experiencing failures, causing many users to be unable to access these services normally. This has caused significant disruptions to business operations. The specific cause of the outage is currently unclear, and Google has stated it is investigating the issue and working to restore services, but no specific repair timeline has been provided yet. This incident has triggered concerns among users.

Recently, Alibaba Cloud officially announced that BYD successfully integrated the Alibaba Qwen large model. This means that in the future within BYD's smart cockpit, users will be able to easily achieve online services such as ticket booking and meal ordering with just one sentence. This new technology will greatly enhance the driving experience and provide more convenient services. This innovation is called Mobile-Agent and adopts a full visual solution. It relies on BYD's open cockpit application ecosystem and combines the visual recognition and reasoning capabilities of Alibaba Qwen-VL to build a multi-modal system.

Recently, Amazon announced a major investment plan to expand its data center infrastructure by investing at least $20 billion in Pennsylvania, USA. This move is not only a continuation of Amazon's ongoing investment in the field of artificial intelligence but also a forward-looking layout for future technological development. Amazon’s investment background is closely related to industry trends. With the rapid development of generative AI technology, an increasing number of enterprises realize the importance of improving data processing capabilities for innovation and competition. Therefore, Amazon hopes to expand its data centers to...

Today, Zhiqu AI announced that the new enterprise-level super assistant, Agent CoCo, is officially launched. This intelligent assistant is centered on the philosophy of "understanding you and your business, capable and deliverable", aiming to bring unprecedented efficiency improvement for enterprises. CoCo has three significant enterprise-level features. First, it is result-oriented and assists in the entire workflow, ensuring each task is measured by its final outcome, truly emphasizing results. Secondly, CoCo introduces a unique memory mechanism, which can actively adapt based on the function and needs of each employee.