#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
“Lasciatemi cantare
con la chitarra in mano
lasciatemi cantare
una canzone piano piano
lasciatemi cantare
perché ne sono fiero
sono un italiano
un italiano vero…”
Ciao, un Vero Italiano…
#RIP
https://ya.ru/video/preview/8887215744709927524
25 июля - день памяти великого русского поэта и барда Владимира Семеновича Высоцкого.
В память о нем публикуем шуточную песню про Африку.
#RIP
Сегодня [06.04.22] на 75-м году, ушёл из жизни Владимир Вольфович Жириновский. Яркий и харизматичный политик. Пусть земля ему будет пухом…
#жириновский#rip