#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
@shiiinabot
Qué puede hacer este bot?
Un bot para eliminar automáticamente los mensajes no deseados predefinidos del grupo.
Idioma: Portugués
(visto en @BotsGram_cu)
#delete, #group, #notification, #message, #regex, #spam, #picture, #remove
День токена "Remove", и так или иначе кто-то что-то здесь убирает 🤓
Dreams Gallery
By Voodoont
#voodoont
#арт#art#ai#remove#surreal#movie#matrix#cinema#dynamic#black_widow#thanos#iron_man#epic#inktober