#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
🇺🇸🇻🇪 Des dizaines de personnes se sont rassemblées devant le tribunal fédéral du district sud de New York en lien avec la deuxième audience dans le procès contre Nicolas Maduro et son épouse, Cilia Flores, rapporte un correspondant de TASS.
#maduro#tribunal#audience
Никогда не забуду эти моменты, которые мне подарила судьба
I'll never forget those moments that destiny gave me.
Pope Francis 🙏🤝❤️🔥🖼️
06.10.2021 года состоялась
Аудиенция Папы Римского
Франциска с вручением моей
Картины «Символ Православия»
И подписанием скатерти Мира
🕊️🕊️🕊️
Сегодня 21.04.2025
Папы Франциска
Не стало…… 🥲🥲🥲
#PopeFrancis
#Audience
#Vatican
#Rome
#LiubovBarykina
#PeoplesDiplomacy
TVision Secures $1.5M Funding
TVision has raised $1.5M in funding as of December 16, 2024. The company utilizes advanced computer-vision technology to analyze viewer engagement for both Linear and CTV, offering person-level insights into viewing habits.
#Funding#TVision#Technology#ViewerEngagement#CTV#Linear#Insights#ComputerVision#Analytics#Viewership#Audience#Engagement#Media#Streaming#Data#Research#Investment