#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
On the Morrigan
The Morrigan is the Celtic archetype of Maiden, Mother & Crone. She the goddess of faith and death.
After battle, she would fly over the bodies of the fallen in form of a raven and sing mystic runic songs. Brave soldiers would obtain a protection amulet from her.
As with many female deities like Cybele, Kali or Hathor, we must seek the origin of the Morrigan in remote antiquity, when there was a specific incident which defined the archetype of the beautiful woman with a magical or terrible aspect.
#goddess#celtic
@EuropeanTribalism
Эксперимент с расширением и многоуровневым апскейлом в Стабле из оригинальной пикчи из Далле-3
Считаю, что прошёл неплохо, оригинальная пнг аж 18.5 мегабайта)
By Voodoont
#voodoont
#арт#art#ai#girl#space#goddess#celestial#sun#solarpunk#upscale