A practical guide to making your AI chatbot smarter with RAGRAG (Retrieval Augmented Generation) technology enhances AI models by allowing them to access and interpret external databases for more accurate responses.
What is retrieval augmented generation (RAG)?Retrieval-augmented generation (RAG) enhances AI's responses by blending information retrieval with prompts for providing relevant, contextual data from external sources, improving accuracy in domain-specific knowledge.
A practical guide to making your AI chatbot smarter with RAGRAG (Retrieval Augmented Generation) technology enhances AI models by allowing them to access and interpret external databases for more accurate responses.
What is retrieval augmented generation (RAG)?Retrieval-augmented generation (RAG) enhances AI's responses by blending information retrieval with prompts for providing relevant, contextual data from external sources, improving accuracy in domain-specific knowledge.
With Gemini on Android, Google Points to Mobile Computing's Future-and PastThe evolution of Google's features to harness contextual information for an enhanced user experience.
Mapped Diagnostic Context(MDC)Contextual information can be associated with each thread using MDC in logging frameworks like Logback and Log4j.MDC should be handled properly in multi-threaded applications to ensure the context is propagated to all threads.
The iPhone Is Now an AI Trojan HorseGenerative AI is becoming increasingly pervasive, with Apple introducing Apple Intelligence at their annual conference to help users with various tasks.