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What is RAG in this context? I only know it as red, amber, green...
by throwaway77384 3y ago
What is RAG in this context? I only know it as red, amber, green...
- vmfunction 3y agogiven the context of vector db, it would be Retrieval-Augmented Generation (RAG) [1] 1: https://medium.com/@mutahar789/optimizing-rag-a-guide-to-choosing-the-right-vector-database-480f71a33139 https://medium.com/@mutahar789/optimizing-rag-a-guide-to-cho...
- throwaway77384 3y agoThanks for the information :)
- armanboyaci 3y agoI found this explanation: https://www.promptingguide.ai/techniques/rag https://www.promptingguide.ai/techniques/rag > General-purpose language models can be fine-tuned to achieve several common tasks such as sentiment analysis and named entity recognition. These tasks generally don't require additional background knowledge. > For more complex and knowledge-intensive tasks, it's possible to build a language model-based system that accesses external knowledge sources to complete tasks. This enables more factual consistency, improves reliability of the generated responses, and helps to mitigate the problem of "hallucination". > Meta AI researchers introduced a method called Retrieval Augmented Generation (RAG) to address such knowledge-intensive tasks. RAG combines an information retrieval component with a text generator model. RAG can be fine-tuned and its internal knowledge can be modified in an efficient manner and without needing retraining of the entire model.
- throwaway77384 3y agoThank you!