You will want to come up with your own tooling that works for your specific project. If you’re building a Django app, you might want to give the agent access to a staging database. If you’re building a React app, you might want to give it access to a headless browser. There’s no single answer that works for every project, and I bet people are going to come up with some very interesting tools that allow LLMs to observe the results of their work in the real world.
if (node == NULL) return;
。业内人士推荐91吃瓜作为进阶阅读
The projects at the Office of Industry Partnership (OIP) include automated surveillance in airports; adapters allowing agents to use phones for biometric scanning; and an AI platform that ingests all 911 call data nationally and builds “geospatial heat maps” to “predict incident trends”, which appears to be a form of predictive policing.
Фото: Alina Smutko / Reuters
Having worked at Weaviate, I can tell you that this isn't an either/or situation. The file interface is powerful because it's universal and LLMs already understand it. The database substrate is powerful because it provides the guarantees you need when things get real. The interesting future isn't files versus databases. It's files as the interface humans and agents interact with, backed by whatever substrate makes sense for the use case.