The Fine Tune Podcast Ep 2: Customer Data Platform as the Personalization Engine for LLMs
The generative capabilities of LLMs combined personalization via golden user profiles is instrumental for powering 1:1 personalized customer engagement. Utilizing Retrieval Augmented Generation (RAG), we can listen to the customer query and— based on the natural language message.
This talk will focus on how a strong customer data foundation is key to unlocking innovation and empowering developers to leverage the power of LLMs and build applications across web personalization, self-service marketing and pre-sales, support, or agent assistance. The generative capabilities of LLMs combined personalization via golden user profiles is instrumental for powering 1:1 personalized customer engagement. Utilizing Retrieval Augmented Generation (RAG), we can listen to the customer query and— based on the natural language message—only extracts the most relevant customer data to ingest into the LLM prompts. We will discuss some specific scalability and relevance related challenges of building a low latency natural language interface on top of golden user profiles to power real time applications. Finally, we'll dive into specific applications where we leverage this natural language interface to the customer data platform as a personalization engine for LLMs and communication channels for contact center use cases.
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Finally, we'll dive into specific applications where we leverage this natural language interface to the customer data platform as a personalization engine for LLMs and communication channels for contact center use cases.
The generative capabilities of LLMs combined personalization via golden user profiles is instrumental for powering 1:1 personalized customer engagement.
