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Retrieval Augmented Generation (RAG) helps large language models (LLMs) answer questions using up-to-date or private information by connecting them to external data sources, unlike fine-tuning which retrains the model on specific data. RAG is useful when you need current, dynamic information without costly retraining, making it ideal for tasks like customer support or knowledge management. Fine-tuning is better for deep expertise in a specialized field but requires more data and effort. Using RAG lets you get accurate, relevant answers quickly by combining the model’s language skills with fresh, specific data, improving usefulness and reliability.
https://github.com/langchain-ai/rag-from-scratch
荣耀林林谈 iPhone Air 降价:并不会改变销量基本面,因为它是个逆着绝大多数用户需求来的产品
荣耀中国区的业务部长林林昨日发文称 iPhone Air 的降价是由绝大多数用户需求引起的。该机采用超瓷晶面板、5级航空级钛金属结构以及高达120Hz ProMotion面板,背面配备48MP融合摄像头支持AOD 1Hz熄屏显示。手机搭载A19 Pro处理器和GPU峰值运算能力高达3倍,支持Wi-Fi 7、蓝牙 6.0和Thread网络。
标签:#iPhoneair
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