#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
Daylight Saving Time (DST) is used to save energy and make better use of daylight. It was first used in 1908 in Thunder Bay, Canada.
If your current location applies this, you might be able to sleep a little longer today.
@googlefactss#Time
[source...]
# The "timeit" module lets you measure the execution
# time of small bits of Python code
»> import timeit
»> timeit.timeit('"-".join(str(n) for n in range(100))',
number=10000)
0.3412662749997253
»> timeit.timeit('"-".join([str(n) for n in range(100)])',
number=10000)
0.2996307989997149
»> timeit.timeit('"-".join(map(str, range(100)))',
number=10000)
0.24581470699922647
#time
¡Tenemos mucha presidenta! 💪🏻
🔴#Time destacó la diplomacia, pragmatismo y lucha contra el crimen de #Sheinbaum, considerándola un ejemplo de éxito 👩🏻🇲🇽🥇
https://sinlineamx.com/sheinbaum-100-personas-mas-influyentes-2026-time/
¡Esto lo va a gustar a la fachiza! 🔥
🔴#Sheinbaum fue incluida por segunda ocasión en la lista de las 100 personas MÁS INFLUYENTES del MUNDO de la revista #TIME en 2026 🙌🏻 | Es la única líder latinoamericana en aparecer 👩🏻🥇