Articles for tag: AI models, Baidu, developer tools, digital humans, ERNIE Turbo, machine learning, technology conference

Market News

Baidu Unveils ERNIE 4.5 Turbo and X1 Turbo: New AI Tools to Boost Developer Innovation and AI Development

Baidu recently launched its innovative AI models, ERNIE 4.5 Turbo and ERNIE X1 Turbo, at the Baidu Create 2025 conference. These models feature advanced multimodal capabilities, fast response times, and competitive pricing, making them accessible to developers. Baidu also introduced several AI applications, such as a digital human platform and a multi-agent collaboration app called ...

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Exploring AI in Software Development: Beyond Code Autocomplete to Enhance Efficiency and Innovation

Coding assistants like GitHub Copilot and Codeium are reshaping software engineering by suggesting code based on existing lines and developer prompts. While they show promise, especially for junior developers, their effectiveness declines for experienced programmers. At AMD, a significant portion of engineers’ time is spent on tasks beyond writing code, such as learning, debugging, and ...

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Descope Revolutionizes AI Agents with OAuth Integration for Enhanced Security and MCP Server Management

Since its debut in 2022, Descope has become a popular choice for customer identity and access management, offering a simple no-code/low-code solution. Developers can easily enhance user sign-up and login experiences using its SDKs and APIs, focused on the OAuth standard. Recently, Descope introduced its Agentic Identity Hub, which addresses the authentication needs of AI ...

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ByteDance Launches UI-TARS-1.5: Open-Source AI Agent Powered by Advanced Vision-Language Model for Multimodal Applications

ByteDance has launched UI-TARS-1.5, an advanced multimodal AI framework designed for interacting with graphical user interfaces (GUIs) and gaming environments. This new model represents a significant upgrade from its predecessor, offering improved accuracy and task performance, even outshining competitors like OpenAI’s Operator and Anthropic’s Claude 3.7. UI-TARS-1.5 integrates visual and textual processing to understand complex ...

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Empower Your Agents with Azure MCP Server: Development Insights and Features from Azure’s Official Repository

The Azure MCP Server connects AI agents with essential Azure services like Azure Storage and Cosmos DB, enabling seamless communication and management of resources. Currently in Public Preview, it allows users to execute commands in natural language, making it easier to interact with Azure services. Users can explore resources, manage configurations, and perform advanced operations ...

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Revolutionizing Networks: Smart Graphs for Autonomous AI Agents Integration and Efficiency

SecAI is a powerful framework designed for building autonomous AI agents that operate using advanced memory and behavior modeling. Developed in the Go programming language, it features a unified state graph that allows for complex, proactive agent interactions while ensuring fault tolerance and the ability to handle interruptions. With specialized development tools and capabilities such ...

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Revolutionizing AI: Smart Graphs for Networks of Autonomous Agents in Pancsta/Secai Solutions

SecAI is an innovative framework designed for creating autonomous AI agents similar to AtomicAgents. Built on a unified state graph, it supports advanced memory structures and long-term agent functionality. Written in the Go programming language, SecAI provides developers with specialized tools to model agent behaviors accurately, ensuring high fault tolerance and efficient flow management. The ...

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Unlock AI Potential: Build Powerful, Interoperable Agents Effortlessly with the Agent Development Kit (ADK) by Franziska Hinkelmann

Today, the exciting Agent Development Kit (ADK) has been released, making it easier for developers to create advanced AI agents using Python. ADK offers a flexible and model-agnostic approach, meaning you can integrate various AI models like Gemini, Llama, or Claude. Building an agent involves three key components: clear instructions detailing its purpose, tools for ...

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Transforming Development: How Agents Shift AI from Reactive to Proactive Solutions for Enhanced Efficiency and Innovation

AI agents are changing how developers create software by moving from basic tools that assist with tasks to more complex systems that can take on responsibilities independently. Emilio Salvador from GitLab explains that while previous AI tools were reactive, the new generation can be proactive, handling tasks that once took a long time. Developers are ...

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