#jupyter_notebook
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
推进实名制打击滥用:谷歌宣布Google Voice号码需要完成身份验证才能使用
谷歌宣布 Google Voice 号码需要完成身份验证后才能使用,此政策仅限于新申请号码的用户。申请后用户必须提交身份证件进行验证,未通过验证前不能收发短信和接打电话,并且为防止恶意利用谷歌仅允许有限次的验证,多次未验证通过则号码彻底凉凉。
标签:#googlevoice
Created by RocM
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