@paintingsplace · Post #3881 · 04/04/2023, 03:18 PM
An Italianate landscape, c. 1800 by John White #Abbott🇬🇧 Oil on canvas, 42.2cm x 61cm Yale Center for British Art, Connecticut, USA Original file 🆔@paintingsplace
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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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@paintingsplace · Post #3881 · 04/04/2023, 03:18 PM
An Italianate landscape, c. 1800 by John White #Abbott🇬🇧 Oil on canvas, 42.2cm x 61cm Yale Center for British Art, Connecticut, USA Original file 🆔@paintingsplace
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@America · Post #10322 · 03/03/2026, 03:52 AM
🚧🇺🇸 TEXAS WINS COURT BATTLE TO KEEP RIO GRANDE BUOY BARRIER 🔹 5th Circuit Court rules Texas can KEEP its controversial floating border barrier ⚖️ 🔹 Governor Abbott and AG Ken Paxton celebrate "major victory" against Biden admin 🎉 🔹 50k barrier stretches 1,000 feet near Eagle Pass to block illegal crossings 🛑 The legal war continues, but for now, the buoys stay in the water. Is this effective border security or a humanitarian hazard? 🌊🤔 #USNews#immigration#Texas#border#Abbott @america
@ultimoraPOLITICS · Post #39553 · 05/16/2022, 06:00 PM
#Sondaggi#USA#Governative#Texas Sondaggio di UTT: Greg #Abbott (#R|ECR): 46% (+1) Beto #ORourke (#D|Centro-sinistra): 39% (+1) Delilah #Barrios (#GPUS|Verdi): 3% (+3) Mark Jay #Tippetts (#LP|Libertari): 3% (+3) Qualcun altro: 8% (-8) Non lo so: 2% (+1) Data rilevazione: 2-10 maggio +/-: 8-15 febbraio Intervistati: 1232 @UltimoraPolitics