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Source channel @githubtrending · Post #14993 · Jul 24

#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

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djangoproject

@djangoproject · Post #427 · 08/30/2017, 03:37 AM

What happens when you #save within #django? 1- Emit a pre-save signal. 2- Preprocess the data. 3- Prepare the data for the database. 4- Insert the data into the database. 5- Emit a post-save signal.

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@graphmessenger · Post #438 · 05/15/2024, 09:15 AM

🎞Save Animated Stickers As GIF ❤️Graph Messenger 11.9.0 🗓Added from: May 15, 2024 #features#sticker#save#gif @GraphMessenger @GraphMessengerTips

djangoproject

@djangoproject · Post #428 · 08/30/2017, 03:40 AM

How #Django knows to #UPDATE vs. #INSERT when you call #save (), #Django follows this algorithm: If the object’s primary key attribute is set to a value that evaluates to True (i.e., a value other than None or the empty string), Django executes an UPDATE. If the object’s primary key attribute is not set or if the UPDATE didn’t update anything, Django executes an INSERT.

Я сегодня нагло злоупотребляю пространством своего канала, хвастаясь новинками, но про этот тайтл я просто не могу молчать, ибо рисовка – любовь с первого взгляда и до последнего вздоха. Наконец-то до меня доехал первый том маньхуа "Дикая песнь" (Сэйв, 2020). Сбылась мечта идиота #China#manhua#NaganoHymns#ДикаяПеснь#Save