#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
#Sondaggi#Francia
Sondaggio di OpinionWay:
"Vuoi che la coalizione #Ensemble|RE ottenga la maggioranza nell'Assemblea Nazionale?"
No: 61%
Sì: 36%
Non so: 3%
Data rilevazione: 5-9 maggio
Intervistati: 3077
@UltimoraPolitics
🌞 Bonjour à tous nos chers abonnés ! 🌍🫵🏽
Nous vous souhaitons un excellent mercredi rempli d'énergie et de détermination. ✨💪🏾La lutte continue, restons unis et solidaires !
#Force#Engagement#Ensemble
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#Francia
La coalizione #NUPES (#LFI-#PS-#EELV-#PCF-#PG-#Ensemble-#REV-#Picardie-#Gs-#GE-#ND-#PP)|LEFT|S&D|G/EFA ha presentato il logo con cui si presenterà alle prossime elezioni legislative.
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