Jinyao Liu (刘晋尧)

As large language model (LLM) agents evolve from prompt-based systems into autonomous multi-step executors, a new class of system challenges emerges: how to reliably execute large …

As local large language model (LLM) deployment becomes increasingly common, simply exposing inference services like Ollama or vLLM to external users introduces serious security, …

As GPU vendors supporting heterogeneous architectures continue to multiply, their software and hardware ecosystems remain fragmented—effectively forming isolated …

Recently, I’ve taken some time to review recent research papers to explore emerging trends in eBPF and reflect on its evolving landscape. In this article, I focus on the growing …

With the rapid development of machine learning and deep learning, model management and deployment have become important and complex challenges. To simplify this process, we …