Qdrant 与 DeepLearning.AI 推出设备端记忆 AI 助手课程
Qdrant 和 DeepLearning.AI 出了门免费短期课，教你做带本地记忆的助手，能离线跑还不传数据，适合动手党。
Qdrant 与 DeepLearning.AI 合作推出新课程 Building AI Assistants with On-Device Memory，由 Qdrant 开发者关系负责人 Dylan Couzon 讲授。课程用向量搜索构建可存储、检索、过滤和遗忘经验的本地记忆系统，并扩展到文本、语音和图像。学员还能教助手仅凭几个示例识别新物体，无需重新训练模型。课程支持在 Mac、Windows 和 Linux 本地运行，共 8 节课、5 个代码示例，附带一个动手编码实验。
New course Launch: Building AI Assistants with On-Device Memory We’re excited to announce Building AI Assistants with On-Device Memory, a new course built in partnership with @DeepLearningAI and taught by @DylanCouzon , Developer Relations Lead at Qdrant. In the course, you’ll build a local memory system that can store, retrieve, filter, and forget experiences using vector search. You’ll then extend it to work with text, voice, and images, and teach the assistant to recognize new objects from just a few examples, without retraining the model. The course also covers how to run the assistant locally on Mac, Windows, and Linux, making it a practical introduction to building AI applications that can work offline and keep data on the device. It’s an intermediate course with 8 lessons, 5 code examples, and a hands-on AI coding lab. Enroll here: deeplearning.ai/short-courses/… 💬 0 🔄 0 ❤️ 8 👀 303 📊 2 ⚡