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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
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Search: #subtitling
@AVTranslationcorner · Post #13 · 01/11/2021, 05:13 PM
What does it mean to be an audiovisual translator? What is the difference between #subtitling and #dubbing? Who translate films into different languages? Please, watch this documentary (in French with English subtitles) where our colleagues from France share their experience. #ESLeague https://youtu.be/bbG7MSSXLJg
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@AVTranslationcorner · Post #10 · 01/06/2021, 01:20 PM
Live #subtitling is an important accessibility tool. Each year, more and more events provide both intralingual and interlingual live #subtitles. We invite you to listen to Łukasz Stanisław Dutka from the University of Warsaw, Poland, an expert in live subtitling and #respeaking, who will disclose some secrets of the profession of a live #subtitler. Just click the link below: https://youtu.be/2He3SuLkEGk