Taylor Ye

In the fast-evolving landscape of AI-driven innovation, businesses are turning to neocloud providers to power their computational needs. Unlike traditional hyperscalers like AWS, Azure, or Google Cloud, neocloud platforms specialize in GPU-as-a-Service (GPUaaS), offering tailored infrastructure for AI and machine learning workloads. With a focus on cost efficiency, high performance,

Artificial Intelligence (AI) is rapidly evolving from narrow, single-task models to more sophisticated systems capable of perceiving and reasoning across multiple types of inputs. This evolution is embodied in multimodal AI, a powerful class of AI that understands and synthesizes information from diverse data types like text, images, audio, video,

In our previous blog, we introduced the fundamentals of Retrieval-Augmented Generation (RAG)—a hybrid architecture that combines the strengths of large language models (LLMs) with retrieval mechanisms to enhance factual accuracy and ground responses in external knowledge. While the basic RAG framework opens the door to powerful AI applications, production-grade

As artificial intelligence continues to evolve rapidly, the need for better coordination, interoperability, and contextual understanding among models has never been more urgent. Enter the Model Context Protocol (MCP), an emerging specification that has quickly gained traction in AI communities and tech giants alike. By early 2025, MCP has become

The open-source AI landscape has seen a significant advancement with the release of Llama 4 by Meta on April 5. This latest iteration of Meta's powerful large language models (LLMs) brings substantial improvements in reasoning, instruction-following, and overall performance, marking the most notable upgrade in the Llama LLM

In an era of rapid information development and increasingly intense competition, a company's success may hinge on how quickly it responds to external changes—or even on how efficiently users perceive its solutions. Ultimately, the ability to extract the most relevant and optimal information from vast amounts of

In the era of rapid AI advancement, AI agents have become a focal point of innovation. Unlike traditional AI models that rely on continuous human input, AI agents operate autonomously, leveraging real-time data and advanced foundation models to make decisions and execute tasks. These intelligent systems are transforming industries—enhancing

The growing popularity of artificial intelligence (AI) has led more people to become aware of it, with the large language model being one of the most familiar aspects. In LLMs (such as DeepSeek or ChatGPT), at the core, there is something called a "token." However, you may not

Imagine you're the CTO of a startup migrating to the cloud. Faced with challenges in team collaboration and cost management, you need to answer two key questions: How can team members safely share resources? How do you avoid confusion in financials and permissions? In this case, the three