#jupyter_notebook#ai#llm#llms#multi_modal#openai#python#rag
Retrieval-Augmented Generation (RAG) is a technique that helps improve the accuracy of large language models by fetching relevant information from databases or documents. This approach ensures that the model's responses are based on up-to-date and accurate data, reducing errors and "hallucinations" where the model might provide false information. For users, RAG offers more reliable and trustworthy responses, allowing them to verify the sources used to generate those responses. This method also saves resources by avoiding the need to retrain models with new data.
https://github.com/FareedKhan-dev/all-rag-techniques
@SubtitleEricBot
Qué puede hacer este bot?
Envie el nombre de la película. Utilice @imdb inline para obtener el nombre correcto de la película.
- Buscaré ese subtítulo.
- A continuación, seleccione el idioma
- Entonces el bot te enviará ese archivo de subtítulos.
Idioma: Inglés
(visto en @BotsGram_cu)
#download, #subtitle
@SubtitleDLbot
Qué puede hacer este bot?
Este bot encuentra y descarga subtítulos
Idioma: Inglés
(visto en @BotsGram_cu)
#subtitle, #subs, #movie, #film, #cinema
#python#asr#captions#cli#python#subtitle#subtitles#transcript#transcripts#translating_transcripts#youtube#youtube_api#youtube_asr#youtube_captions#youtube_subtitles#youtube_transcript#youtube_transcripts#youtube_video
The YouTube Transcript API is a tool that helps you get the text from YouTube videos. It's fast and easy to use, saving you time compared to watching the whole video. You can use it to make subtitles, translate text, and even analyze what's being said in videos. This is helpful for content creators who want to make their videos more accessible and for researchers who need to study video content quickly. It also supports multiple languages, making it useful for a wide range of users.
https://github.com/jdepoix/youtube-transcript-api