Microsoft announced that its Phi series of generative AI models has a new member - Phi-4. Compared to previous versions, Phi-4 shows improvements in several areas, particularly in solving mathematical problems, thanks to the enhanced quality of training data. As of Thursday evening, access to Phi-4 is relatively limited, available only on Microsoft's newly launched Azure AI Foundry development platform and restricted to research purposes under the Microsoft Research Licensing Agreement. Image source note: Image generated by AI, image licensed.

Microsoft has recently made significant progress in the field of enterprise AI intelligences, establishing the world's largest enterprise AI intelligent ecosystem. Since the launch of Copilot Studio, over 100,000 organizations have participated in the creation and editing of AI intelligences. This milestone signifies Microsoft's leading position in the enterprise technology sector. Microsoft executive Charles Lamanna stated that the growth rate exceeded expectations, being faster than the adoption rate of any cutting-edge technology previously released by the company.

Microsoft announced the launch of a new tool, Azure AI Foundry, at its annual Ignite conference, aimed at simplifying the operational workflow for cloud customers building and deploying artificial intelligence applications, and enhancing the commercial potential of generative AI. This tool allows users to more easily switch between large language models that support AI. For instance, customers using older OpenAI products can try the new model version or opt for alternatives like Mistral and Meta. Image source note: The image was generated by AI, with image licensing provided by Midj.

Microsoft recently announced the launch of a series of artificial intelligence (AI) models specifically designed for the manufacturing, agriculture, and financial services sectors. These models have been developed in collaboration with renowned companies such as Siemens, Bayer, and Rockwell Automation, aiming to integrate advanced AI technology into industries that have long relied on traditional methods. The newly launched dedicated models are now available in Microsoft's Azure AI catalog, marking a significant step for Microsoft in developing AI tools that meet the unique needs of different industries. This initiative reflects Microsoft's commitment to advancing.

As the highly anticipated ChatGPT approaches its two-year anniversary, rumors about OpenAI's new flagship model have sparked renewed discussions in the industry. However, this commotion was swiftly clarified by OpenAI's CEO, Altman. The event originated from a report by tech media The Verge, where several insiders suggested that OpenAI might launch the new flagship model "Orion" on November 30, coinciding with ChatGPT's second anniversary. The report also noted that the engineering team at Microsoft Azure has already...

According to The Verge, OpenAI is set to launch its next-generation model Orion in December. Unlike the earlier releases of models GPT-4o and o1, Orion will not be widely available through ChatGPT at first. Instead, OpenAI plans to offer access primarily to companies closely collaborating with them, so these companies can build their own products and features. Another source told The Verge that engineers from Microsoft—OpenAI's main partner in deploying AI models—are

Recently, the U.S. Secret Service quietly ventured into the field of artificial intelligence, spending over $50,000 on cloud services from Microsoft Azure and OpenAI. This move has drawn significant attention, but the Secret Service has remained silent, not revealing specific purposes or plans for the usage. This information was disclosed through documents obtained by the media, highlighting the Secret Service's growing interest in AI technology. Image source note: The image was generated by AI, with licensing provided by Midjourney.

In today's rapidly advancing world of artificial intelligence, while generative AI has brought many conveniences, the false information it produces has also become a significant problem. To address this challenge, tech giant Microsoft has recently launched a new tool called "Correction", aimed at rectifying misinformation in AI-generated content. As part of the Microsoft Azure AI Content Safety API, "Correction" is currently in preview. This tool can automatically flag texts that may contain errors, such as incorrectly quoted company earnings.

Microsoft and GitHub have announced a deep collaboration aimed at simplifying the AI application development process, making it easier for 100 million developers worldwide to build AI applications on the GitHub platform. With the seamless integration of Codespaces and Visual Studio Code on GitHub.com, developers can directly use Azure AI services, including access to leading AI model libraries, direct access to Azure AI through GitHub Models, and harnessing the power of Azure AI.

Microsoft investors are focusing on balancing Azure service growth and AI investment returns. Azure grew steadily by 31%, but AI contributions only increased by 7%. The company's significant investment in AI is expected to raise capital expenditures by 53% to $13.64 billion this year, with short-term AI returns being a priority. There are concerns that high short-term investments in AI may affect returns, causing stock price volatility. Despite a....

OpenAI and Anthropic may face losses of up to billions of dollars this year, primarily due to the high costs of training and operating AI models. OpenAI's AI training costs are expected to reach $3 billion, with personnel costs potentially hitting $1.5 billion and rental of Microsoft servers costing nearly $4 billion. Anthropic's situation is more severe, with projected expenses exceeding $2.7 billion, while its revenue is only one-fifth to one-tenth of OpenAI's. The costs of developing and operating AI models are facing intense competition, especially in multimodal scenarios.

Microsoft has announced the launch of serverless fine-tuning capabilities for the Phi-3 small language model, enabling developers to easily adjust model performance on the Azure AI platform without managing underlying infrastructure, and it is free for initial use. The Phi-3 model, with 3 billion parameters, is suitable for enterprise developers, offering efficient performance at a lower cost. Although it has fewer parameters compared to OpenAI's GPT-3.5, it performs similarly across various applications. Serverless fine-tuning simplifies operations, reduces barriers, and supports the fine-tuning of small to medium models.

OpenAI announced today that its new flagship model, GPT-4o mini, has been launched on Azure AI, supporting text processing capabilities, with plans to introduce image, audio, and video functionalities in the future.GPT-4o mini is significantly smarter than GPT-3.5Turbo—scoring 82% on the Massive Multitask Language Understanding (MMLU) benchmark compared to GPT-3.5Turbo's 70%—and is over 60% cheaper. This model offers an expanded 128K context window and integrates the enhanced multilingual capa

Microsoft (MSFT) has once again become a focal point for investors due to its deep integration of artificial intelligence technology. Under the strategic leadership of CEO Satya Nadella, the company's Azure cloud platform has increasingly become a key engine driving its AI development. The latest financial report shows that Microsoft's revenue reached $61.86 billion in the third quarter, exceeding analyst expectations, with its cloud business particularly shining, generating $35 billion in reven

Chatbot UI is an open-source chatbot web UI framework that supports multiple model integrations. The framework offers a beautiful chat experience, including image and file capabilities, and supports both OpenAI embeddings and local embeddings. It features rich assistant functionalities such as import/export, sharing capabilities, an authentication system, and user profile backgrounds. It supports local running or hosted deployment and provides integrated image/file storage features. Chatbot UI is a comprehensive chatbot web UI framework.

Microsoft Azure has recently launched GPT-RAG, an ultra-intelligent solution designed to facilitate the operation of large language models in enterprises. The demand for LLMs has surged due to their ability to understand and generate human-like text. GPT-RAG features a robust security framework that adheres to zero trust principles, ensuring that sensitive data is handled with care, thereby providing unparalleled security for enterprises. Additionally, GPT-RAG's architecture includes three key components: data ingestion, a coordinator, and a front-end application.

Approximately 79% of ChatGPT's enterprise customers come from the Microsoft Azure OpenAI partnership. Within less than four months of its launch, ChatGPT Enterprise has gained between 22,000 and 25,000 customers globally. Analysts believe that most customers are still exploring the technology's proof-of-concept phase, and the true situation will become clear after a year and upon the renewal of annual subscriptions.

Marcum recently launched AskMarcum.ai, integrated with Microsoft Azure OpenAI services, focusing on enhancing team work efficiency. AskMarcum.ai is deeply integrated with Microsoft Teams, making it one of the few accounting firms with an embedded platform, improving security and accessibility. This tool utilizes the ChatGPT model from Azure OpenAI services, showcasing significant progress in the application of generative AI technology in a secure and professional environment.