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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
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#search
📰 Global Keyword Post Search
In the latest version of Telegram Beta for Android, searching posts using keywords is now subject to a daily cap. To find posts, go to Search, select Posts and enter your keyword.
Users receive 10 free keyword searches each day. After that, you must spend 10 stars to unlock two more searches or wait for the next reset. This limit applies to all users including Premium. Non Premium users cannot access keyword searches at all.
This feature is currently available in the test backend.
#Search | #beta v11.14.0
👉The TG Times
📰New Search Bar option
In the latest version of Telegram Beta for Android, you will be able to manage your search bar better than before and find the information that you are looking for easily
#Search | #beta v11.6
👉The TG Times