Strategically Grounding Data: LLM Models for Reliable AI Applications

Strategically Grounding Data: LLM Models for Reliable AI Applications

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Strategically Grounding Data: LLM Models for Reliable AI Applications muhil varnan · Follow 6 min read · Just now Numerous individuals are currently contemplating the implementation of Gen AI and LLMs in production services, encountering various challenges along the way. “How can LLMs or AI chatbots be seamlessly integrated with existing IT systems, databases, and business data?” “With a vast array of products, how can I ensure LLMs accurately memorize all of them?” “Addressing hallucination issues in AI chatbots: Strategies for building a dependable and trustworthy service. One of the quick solution is grounding with embeddings and Vector Search What is grounding? Grounding is the process of using large language models (LLMs) with information that is use-case specific, relevant, and not available as part of the LLM’s trained knowledge. […]

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