[Baidu Qianfan] Provide detailed documentation and examples for Qianfan-VL

So, in the last 24 hours a few interesting things happened in AI and tech that are worth discussing: 1. **HSBC + IBM Quantum** HSBC claims a *34% jump* in predicting bond trades using IBM’s Heron quantum processor. Sounds like the first real financial use-case for quantum, moving from toy problems to actual algorithmic trading. If this holds up, it’s a multi-billion dollar efficiency gain. But it also raises the obvious: if some banks get quantum advantage first, what happens to “fair markets”? 2. **Amazon’s Zoox** Zoox is asking NHTSA for permission to put 2,500 steering-wheel-less, pedal-less cars on U.S. roads. Regulatory frameworks are written for human drivers, so this could either be a breakthrough precedent or another endless bureaucratic loop. Bonus: imagine these in Amazon’s logistics fleet. Autonomous Prime delivery, anyone? 3. **Alibaba’s AgentOne** Alibaba launched AgentOne, an enterprise AI agent platform. It’s built on Alibaba Cloud + Tongyi Qianwen, and they’re pitching it as the shift from “reactive IT” to “proactive AI agents.” The skeptic’s question: will enterprises actually *trust* an AI agent with real business ops? Or will this just be internal hype until security/reliability is solved? 4. **Baidu’s Qianfan-VL** Baidu open-sourced Qianfan-VL, a multimodal model tuned for OCR and education. Claims 10–20% higher accuracy than mainstream models. OCR might not sound sexy, but if you’ve ever worked in finance, logistics, or academic digitization—you know bad OCR = millions wasted. Is HSBC’s 34% “quantum advantage” reproducible or just clever benchmarking?