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Feishu launches AI product suite and industry-first AI maturity model to drive enterprise digital transformation, featuring enhanced multi-dimensional tables and rapid AI app development tools.....

Alibaba opens WebSailor AI agent (32B/72B), outperforming closed-source models. Galaxy Securities highlights AI Agent economy growth, citing firms like Focus Tech and JinCai Tech. Open-source lowers entry barriers, accelerating industry progress.....

In the digital age, efficient note-taking tools have become an essential part of knowledge management. Recently, a cross-platform AI note-taking software called NoteGen has quickly gained popularity. It supports five major platforms: Windows, MacOS, Linux, iOS, and Android, and offers free multi-device data synchronization. With native Markdown formatting and strong integration with third-party large models, it redefines the note-taking experience. Full platform support and free synchronization seamlessly connect NoteGen, thanks to its powerful cross-platform compatibility.

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

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.

A deep dive into how Eureka AI addresses three major pain points in R&D - information overload, innovation bottlenecks, and evaluation difficulties - through core features such as a technical Q&A assistant and TRIZ theory innovation. It provides end-to-end AI support solutions from concept to implementation.

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.

According to the latest prediction from Gartner, by 2028, 80% of generative AI business applications will be developed on existing data management platforms. This shift is expected to reduce development complexity and cut delivery time in half. Currently, the development of generative AI business applications mainly relies on combining large language models (LLMs) with corporate internal data, as well as evolving technologies such as vector search, metadata management, prompt design, and embedding techniques. However, without a unified management approach, companies may...

Recently, Sam Altman, CEO of OpenAI, published a new blog post, predicting that AI technology has crossed a critical threshold and will witness major breakthroughs in the coming years. From AI systems that discover novel insights in 2026 to robots capable of executing tasks in the real world by 2027, up to the great abundance of intelligence and energy in the 2030s, Altman's vision has sparked global discussions. The AIbase editorial team has compiled the latest information to provide you with an in-depth analysis of this blueprint for the future of AI and its impact on the world.

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.