[NeurIPS 2025] 🌐 WebThinker: Empowering Large Reasoning Models with Deep Research Capability
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Updated
Dec 8, 2025 - Python
[NeurIPS 2025] 🌐 WebThinker: Empowering Large Reasoning Models with Deep Research Capability
Higher performance OpenAI LLM service than vLLM serve: A pure C++ high-performance OpenAI LLM service implemented with GPRS+TensorRT-LLM+Tokenizers.cpp, supporting chat and function call, AI agents, distributed multi-GPU inference, multimodal capabilities, and a Gradio chat interface.
Official PyTorch implementation for Hogwild! Inference: Parallel LLM Generation with a Concurrent Attention Cache
Ollama负载均衡服务器 | 一款高性能、易配置的开源负载均衡服务器,优化Ollama负载。它能够帮助您提高应用程序的可用性和响应速度,同时确保系统资源的有效利用。
To Think or Not to Think: Exploring the Unthinking Vulnerability in Large Reasoning Models
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