#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
Calling all cosplayers and Comic Con fans! 💥
From serene gardens to futuristic bridges, our urban spaces are the perfect backdrop for any character.
Swipe through to discover these locations for your next photoshoot! 📸
#ComicConSG#CosplaySG#MarinaBay#CityInNature#Architecture
After a millennium of tumultuous days, at last, tranquility reigns.
然而我并没找到这句对应的中文翻译
感觉修完反而显得很平光……大失败
原神的魈
拍摄于HoYo FEST Singapore (2024-08-17)
#xiao#魈#genshinimpact#cosplay#game#lance#hoyofest#hoyofest2024#hoyofestsg#singapore#sgcosplay#cosplaysg