#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
@redfoxuz / #academy
Endi RedFox akademiyasini jonli kuzatish mumkin 🥳
• Suhbatdan qanday qilib oson o'tib shogird tushish mumkin?
— Shogirdlarni o'zidan eshiting.
• Shogirdlar nima uchun tez o'rganib, tez daromadga chiqadilar?
— RedFox metodikasini jonli kuzating.
• Kompaniya qanday tashkil topgan?
— Kompaniya asoschisidan tortib, rivojlanish jarayoniga guvohi bo'lgan barchadan eshitasiz.
• Studiya hayotini matnli, ovozli, video va eng asosiysi hech qanday rasmiyatchiliklarsiz tabiiy va jonli kuzating 😉
Kanalni kuzatish:
@redfoxacademy