Find similar content

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

Hashtags

#jupyter_notebook

Results

1 similar post found

Search: #statist

当前筛选 #statist清除筛选

Aileaders.uz

@aileaders_uz · Post #16 · 01/10/2025, 10:38 AM

Find similar View

🟦🟦🟦🟦🟦🟦 Professional IT sertifikatga o’qiganlarning 40% dan ortig’i IT sohasida ishtopib, 500$ va undan yuqori daromad topishmoqda. 📈 Professional darajadagi xalqaro IT sertifikatlarga o'qib kompensatsiya olgan yoshlar soni 2023-yilda 386 nafarni tashkil etgan bo'lsa, 2024-yilda 938 tani tashkil etdi (2,4 barobarga ko'paygan), qoplab berilgan mablag' miqdori 3,5 mlrd so'mni tashkil etib, 6,6 barobarga oshgan. 📼 Hozirgi kunda, aksariyat IT kompaniyalar suhbatga taklif qilishganida nomzodlarda qanday Professional IT sertifikati borligi, ilg’or IT texnologiyalar hamda chet tillarini bilishi holati muhim ahamiyat kasb etadi. 🚪 Siz ham IT sohasida yaxshi daromad topmoqchi bo’lsangiz – xalqaro sertifikatlarga o’qing(ro'yxat) va Uzbekcoders.uz portalida BEPUL ta’lim resurslaridan foydalaning. #Uzbekistan#IT_Hub#Certification#Talents#Coursera#Uzbekcoders#Statist

Hashtags

#uzbekistan #it_hub #certification #talents #coursera #uzbekcoders #statist