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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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@MLB_Daily · Post #17101 · 05/03/2026, 03:15 PM
📊 Los primeros 33 juegos de Christian Walker en 2025: .202/.272/.347 4 HR 10 RBI 40 K | 9 BB .619 OPS 74 wRC+ -0.2 fWAR 📊 Los primeros 33 juegos de Christian Walker en 2026: .309/.386/.577 8 HR 26 RBI 24 K | 14 BB .963 OPS 163 wRC+ 1.4 fWAR Un comienzo MUCHO MEJOR para el segundo año de Walker en Houston 💪 #Walker#Stats#Astros 🗞 | t.me/MLB_Daily
@libertaeragione · Post #3982 · 10/06/2023, 12:56 AM
#Elezioni#RegnoUnito#Suppletive#RutherglenHamiltonWest Risultati definitivi: Michael #Shanks (#LAB|S&D): 58,6% Katy #Loudon (#SNP|G/EFA): 27,6% Thomas #Kerr (#CON|Centro-destra): 3,9% Gloria #Adebo (#LDEM|RE): 2,9% Cameron #Eadie (#Greens/#ScotsGreens|G/EFA): 2% David #Stark (#Reform|Destra populista): 1,3% Niall #Fraser (#SFP|Destra familiarista cristiana): 1% Bill #Bonnar (#SSP|Sinistra indipendentista): 0,9% Colette #Walker (#ISP|Indipendentisti): 0,7% Christopher #Sermanni (#TUSC|Sinistra): 0,6% Andrew #Daly: 0,3% Ewan #Hoyle (#Volt|G/EFA): 0,2% Prince Ankit #Love, Emperor of India: 0,1% Garry #Cooke: 0% LAB GUADAGNA su SNP. @OsservatorioEsteri