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Source channel @olddriverGDstudy · Post #37 · Mar 17

1.前戏长点,能亲的不只嘴,还有锁骨、胸、大腿内侧 。侧着在后面含着耳垂舔。 2.后入时抓手臂更好用力,注意不要抓手腕(会弄疼女孩子),抓肩膀也可以哦。 3.大部分女生的耳朵是敏感处吧,吹气、低声说骚话真的会让女生不自觉地把腿夹紧。 4.洗白白吻遍身体很nice哦。 5.揉着胸从下面顶在洞口,没有见过不湿的。先来正常姿势,等她湿了就用龟头在洞口探进去再出来,一直挑逗,过一会就会发现她自己往里吸,忍着等她忍不住浑身扭,求你再进入。开始慢点,等明显感觉她夹得很紧,再开始。 #知识

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@githubtrending · Post #15041 · 08/09/2025, 11:30 AM

#cplusplus#ai_chat#llm_inference GPT4All lets you run powerful AI language models directly on your own computer without needing internet, cloud services, or special GPUs. This means your data stays private and secure because nothing leaves your device. You can chat with the AI, ask questions, summarize documents, write code, or create content anytime, even offline. It works on Windows, macOS, and Linux with easy installation and supports many popular AI models. You can also customize it and use it with Python or other tools. This gives you full control, privacy, and flexibility for AI tasks without extra costs or dependencies. https://github.com/nomic-ai/gpt4all

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@githubtrending · Post #15518 · 02/24/2026, 11:30 AM

#rust#ai#ai_ocr#attention_mechanism#gnn#gnn_model#gnns#graph#graph_neural_networks#llm_inference#low_latency#mincut#neo4j#ocr#onnx#rust#vector#wasm RuVector is a free, open-source vector database that gets smarter with every query. Unlike static databases, it learns from usage via GNN layers, runs LLMs locally with no cloud costs, supports graph queries like Neo4j, scales freely across nodes, and deploys as a single self-booting file (125ms startup). Run with `npx ruvector`. You benefit from faster, more accurate AI search that improves automatically, zero operating costs, full offline/privacy control, and easy scaling—perfect for RAG, agents, or edge apps without vendor lock-in. https://github.com/ruvnet/ruvector

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@githubtrending · Post #15521 · 02/25/2026, 11:30 AM

#rust#ai_gateway#ai_gateway_support#envoy#envoyproxy#gateway#generative_ai#llm_gateway#llm_inference#llm_proxy#llm_routing#llmops#llms#openai#prompt#proxy#proxy_server#routing Plano is an AI-native proxy server that handles key tasks for agentic apps like routing between agents, smart LLM model selection, safety guardrails, and automatic traces for observability. Define agents in simple YAML, write basic HTTP code in any language, and start Plano to run multi-agent systems without custom plumbing or framework lock-in. You benefit by building and shipping reliable agents to production much faster, focusing on core logic while gaining safety, low latency, and easy scaling. https://github.com/katanemo/plano