Andrew Ng：Agent 时代需要更快的基础设施，而不只是更快的模型
🖥️ Agents don't just consume tokens for input and output like humans do with early chatbots. Agents...
吴恩达这期 The Batch 聊了个常被忽略的点：Agent 消耗 token 的方式和人不一样，瓶颈可能在工具和基础设施，而不是模型速度。
Andrew Ng 在 The Batch 本周的信中指出，Agent 与早期聊天机器人的 token 消耗方式不同。Agent 会自主执行搜索、存储、分析和交易，其操作规模超过任何个人。他认为这要求行业投入更多基础设施并打造更快的工具，仅靠更快的模型无法满足需求。
🖥️ Agents don't just consume tokens for input and output like humans do with early chatbots. Agents...
🖥️ Agents don't just consume tokens for input and output like humans do with early chatbots. Agents use computers: searching, storing, analyzing, transacting, at a scale no person matches. In this week's Andrew's Letter in The Batch, Andrew Ng explains why that means we need much more infrastructure, and faster tools, not just faster models. 🏗️ hubs.ly/Q04zR8n20 nG #DeepLearningAI g #AIEngineering i #AIAgents nts 💬 5 🔄 1 ❤️ 13 👀 1231 📊 6 ⚡
