Articles for tag: AI Development, Education, Innovation, open-source AI, Quoc Le, startup ecosystem, Vietnam

Market News

Vietnam Must Innovate, Not Imitate: Insights from AI Pioneer Le Viet Quoc on Future Growth and Development

Quoc, a 43-year-old AI pioneer with a PhD from Stanford, shared insights during his visit to Vietnam for the International Conference on AI and Semiconductors. He discussed how Vietnam can learn from global AI developments, specifically the rapid advancements in China. Quoc emphasized the importance of open-source AI, urging Vietnamese companies to not only utilize ...

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Skeptical Insights from Perplexity CEO Aravind Srinivas on AI Agents’ Feasibility in 2025

Aravind Srinivas, CEO of Perplexity AI, believes that while AI agents are garnering excitement, their real-world deployment may take longer than expected. He points out the challenges in creating functional AI agents, particularly within operating system ecosystems like iOS. Srinivas envisions these agents assisting with tasks like booking travel and making personalized recommendations, providing a ...

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Deploy Your First Azure AI Agent Service on Azure App Service: A Step-by-Step Guide для начинающих

Azure AI Agent Service is a managed platform that helps developers create, deploy, and scale intelligent AI agents without worrying about the underlying hardware. These agents can interact with real-world data, answer queries, and automate tasks by leveraging advanced AI models. Using Azure App Service to run these agents comes with advantages like automatic scaling, ...

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Nvidia GTC 2025 Highlights: Blackwell Ultra, GM Partnerships, and New Personal AI Supercomputers Unveiled

Rivian CEO RJ Scaringe recently shared insights about the company’s self-driving goals during an interview at NVIDIA’s GTC event. He discussed the crucial role of GPUs in training and simulations for Rivian vehicles. When asked about desirable AI features, Scaringe emphasized that self-driving technology is on the horizon, although it’s not yet fully developed. He ...

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Mastering AI Prompts: A Guide to Effective Communication with Langbase for Optimal Results

In today’s tech landscape, mastering prompt engineering is essential for anyone developing AI solutions. By 2025, the effectiveness of AI agents will depend significantly on how well they are prompted. Whether you are a developer or a product manager, understanding prompt engineering can greatly enhance your productivity. This article offers valuable tips for creating effective ...

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Streamlined Multi-Agent System: Tools, Handoffs, and Guardrails for Enhanced API Input and Output Streaming

In a recent community post, user cyzgab shared their experiences after spending a weekend exploring the new agents SDK. They created a simple multi-LLM call workflow and provided insights into their first impressions, highlighting features like guardrails and streaming capabilities. They discussed various aspects of the SDK, such as the difference between “agents as tools” ...

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Build Your Own AI Agents: Step-by-Step Guide with OpenAI Agents SDK by Data Scientist Sahin Ahmed

OpenAI has launched the Agents SDK, a powerful framework that simplifies the creation and management of AI agents designed to perform complex tasks automatically. With features like agent management for creating multiple AI agents, seamless task handoffs between agents, safety guardrails for responsible AI usage, and tools for tracing and monitoring agent activity, developers can ...

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Innovative AI Agents Hackathon 2025: Exploring Cutting-Edge Solutions and Collaborative Creativity in Artificial Intelligence Technology

Join the AI Agents Hackathon 2025, a free three-week virtual event designed for both beginner and experienced developers interested in AI agent development. From April 8 to April 24, you can attend over 20 expert-led sessions streamed live on YouTube, focusing on popular frameworks like Semantic Kernel and Azure AI Agents SDK. Get hands-on experience, ...

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Build Resilient AI Agents with Workflow Orchestration, Security, and Telemetry Using Dapr Dapr-Agents for Autonomous Solutions

Dapr Agents is a powerful framework that helps developers create robust AI agent systems that can scale effortlessly. Built on the reliable Dapr project, it enables the development of AI agents capable of reasoning, acting, and collaborating, using advanced Large Language Models. Key features include the ability to run thousands of agents efficiently on minimal ...

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