TGINSIGHT SIMILAR POSTS
Source channel @githubtrending · Post #14993 · Jul 24
#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
Hashtags
Search: #stabilityai
@the_ai · Post #779 · 03/26/2024, 12:55 AM
🦾#КороткойСтрокой • Гендиректор #Nvidia предсказал появление игр, целиком сгенерированных ИИ, менее чем через 10 лет. • В MIT придумали способ в 30 раз ускорить генерацию изображений с помощью нейросетей. • Глава #StabilityAI Эмад Мостак ушел в отставку. Он заявил, что займется децентрализованным ИИ. • По данным WABetaInfo, мессенджер WhatsApp работает над размещением #Meta AI в строке поиска.
@Digi_doodles · Post #624 · 08/05/2025, 09:05 AM
Stability AI: Fair Pay for Artists?💐 Prem Akkaraju, CEO of Stability AI, has announced a game-changing commitment: Artists whose work is used to train generative AI models may soon receive compensation — similar to royalties on Spotify. Key points: — Focus on licensed training data — Plans for revenue-sharing models with creators — A move toward ethical and transparent AI development ✉️As debates rage over AI and authorship, Stability AI takes a step toward making tech fairer — and more artist-friendly. #AIArt#StabilityAI#CreativeRights#EthicalAI#ArtAndTech