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@besnow_cloud · Post #3173 · 05/29/2025, 09:15 AM
Figure CEO 稱，今年已收到 53,609 份求職申請，較去年暴增 5️⃣倍！ #FigureAI#机器人革命#AI趋势#就业观察
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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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@emagzinewspars · Post #9365 · 10/18/2025, 09:37 AM
#The_Time🇺🇸📕[PDF]⬇️ 27 #October2025 #Weekly_Magazines For learning, for free(dom). @backupofmagazines Meet the #Future of invention in TIME’s Best Inventions of 2025! 🤖 From humanoid robots folding laundry (#AI), to lab-grown #salmon, wildfire defense tech, and personalized #healthcare, this issue showcases 50+ breakthroughs that redefine home, work, and #sustainability. Discover how #FigureAI leads the #robotics revolution, dive into the #Barbie phenomenon, explore the rise of “Baby Boxes,” and relive the final #StrangerThings. A must-read collection for #tech lovers and #innovators alike. #BestInventions2025#Innovation#FutureOfWork#ClimateTech#Biotech#Netflix#HumanAI#TimeMagazine