#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
💿 The Rise and Fall of the Compact Disc
Having been hit by the rise of MP3 players in the early 2000s, #CD sales nearly halved between 2000 and 2007, which is when smartphones and the first music streaming services emerged to put the final nail in the compact disc’s little round coffin.
#Nostalgia
🚀@PerspectiveIX
🌀 http://prs.pctvix.co/TelegramIX
#Italia
❗️ Bruno #Tabacci (#CD|Centro): "Se si andasse a votare, il centrosinistra dovrebbe presentarsi con una larga coalizione dichiarando fin da subito che, se vincesse, l'unico premier possibile sarebbe Mario Draghi."
@UltimoraPolitics
#Italia#Elezioni2022
#Tabacci (#CD) contro #Calenda: "Le terze vie sono a servizio della vittoria della destra, chi le sceglie sarà come Conte."
@UltimoraPolitics
#Italia#Elezioni2022
Accordo siglato tra Luigi #DiMaio (#IpF) e Bruno #Tabacci (#CD). Lunedì mattina verrà presentato il nuovo progetto. (Adnkronos)
@UltimoraPolitics