Lightning Talk: Grounding LLM to Avoid Hallucinations Using Vector S… Venkata Karthik Penikalapati
Lightning Talk: Grounding LLM to Avoid Hallucinations Using Vector Search – Venkata Karthik Penikalapati, Salesforce
As businesses increasingly explore the integration of Gen AI and large language models (LLMs) into their operational services, a common question emerges: How can we seamlessly incorporate LLMs into existing solutions, IT systems, databases, and proprietary business data?
Additionally, for companies with vast product catalogs, discrete information sources, the concern may arise: How can we ensure LLMs accurately retain knowledge of our extensive product offerings and do not produce erroneous hallucinated results which can be detrimental for customer experience ?
Furthermore, when it comes to LLM based apps, maintaining accuracy and preventing hallucinations is paramount to provide a reliable service. Fortunately, there’s a practical solution: grounding through embeddings and leveraging the power of vector search.
For businesses seeking to optimize their internal knowledge retrieval systems, this approach offers a quick and effective means to enhance customer experiences, streamline access to valuable information, and ultimately, drive business success.
by The Linux Foundation
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