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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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@werewolfid · Post #166 · 02/20/2017, 12:59 PM
Werewolf Programer ID Grup game yang dikhususkan bagi programmer, blogger. Bukan programmer gak masalah sih. Intinya Enjoy dehhh. Juga jadi tempat sharing berbagai info nihh. Tanya Jawab tentang software n hardware ?? Monggo! <>Welcome To WPID<> Have Fun!! 📍@WWProgamer #Indonesia#WPID#programmer
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@dasturlash_hayoti · Post #3990 · 10/05/2025, 06:58 AM
#DasturlashHayoti#LearnToCode#Programmer Har bir dasturchi bilishi kerak bo‘lgan 5 ta bepul manba 🆓Pul to‘lamasdan bilim olishning eng zo‘r manbalari: 1️⃣FreeCodeCamp — front-end’dan tortib back-end’gacha 2️⃣roadmap.sh — qaysi yo‘nalishdan boshlashni aniq ko‘rsatadi 3️⃣Frontend Mentor — haqiqiy dizayn asosida kod yozish mashqi 4️⃣CSS Battle — o‘yin orqali CSS o‘rganasiz 5️⃣DevDocs — barcha texnologiyalar hujjatlari bitta joyda Bilim — eng yaxshi investitsiya. Ayniqsa, pulsiz bo‘lsa yanada yoqimli 😄 Shunaqa postlar davom etsin desangiz, ulashib qo‘ying — birga o‘rganamiz! 💪 💻@dasturlash_hayoti— Dasturchilar uchun eng kerakli maslahatlar va foydali kontent