开发者工具2 weeks ago
DMC | API for Open-Source AI Models from China | New API
通过隐私保护的API访问中国开发的开源AI模型。
@Jenny5143197635 · X
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通过隐私保护的API访问中国开发的开源AI模型。
@Jenny5143197635 · X
扫描AI提示词和端点的漏洞，实时监控生产LLM的安全性和合规。
@CognisafeUK · X
对比多个LLM API提供商的延迟和吞吐量性能。
@QAInsights · X
สร้างรูปสินค้า โลโก้แบรนด์ และรูปโปรไฟล์โซเชียลด้วย AI ลบพื้นหลัง แก้ภาพเบลอ
@Samaibaramee99 · X
สร้าง-แก้ รูปภาพ Check out what I just built with Lovable!
在空间节点画布上协作AI项目，组织语言模型上下文。
jebuehler55 · HN
I built a spatial node canvas to fix LLM context drift
查看 GPU 兼容的 LLM 模型及成本预算方案。
jaeseok614 · HN
Open-source calculator for "will my GPU run this LLM?"
向任何LLM发送前屏蔽敏感数据，然后在回复中恢复。
@velumprivacy · X
可视化语言模型在各层回答前的思考内容。
ada1981 · HN
I built a web tool to see and edit what an AI thinks before it answers
计算LLM微调和推理所需的GPU显存。
@FaiqAdzlan · X
Built a GPU VRAM calculator to try out Claude Code (#cursorfanboy). I wanted it as granular as possible so I based it off of LLMem) which really just covers fine-tuning tbh. Please tear it to shreds: GitHub:
使用一个 API 访问和切换多个 LLM 提供商，同时优化推理成本。
justin2025 · Product Hunt
Auriko Trading desk for LLM calls
向多个前沿大模型提问，获得经过同行评审的综合答案。
u/Puzzleheaded-Log-27 · Reddit
Building a multi-model AI deliberation tool taught me something about trust LLM Counsel isn't another wrapper around one model - it sends your question to a panel of frontier LLMs, has them peer-review each other anonymously, and an impartial "chairman" model returns one synthesized answer. Free to start, pay-as-you-go after, credits don't expire. What I've learned so far: people trust a synthesized answer a lot more once they can see that the models actually disagreed and how that disagree