Scaling personalization with AI: leveraging HuggingFace and RAG for customized user experiences

BOGDAN SOLGA

Java Trainer & Consultant

LearnSpring

Java & DevOps Trainer and Consultant, with over 17 years of experience in the Java and DevOps ecosystems. AI enthusiast and proponent, working towards the integration of the AI benefits in our worlds. In my recent professional engagements, I have worked as a Technical Manager, Java Trainer and Software Architecture Consultant, with several large companies – Inditex, Cerner, Canon, Accenture, General Electric.

BOGDAN SOLGA

Java Trainer & Consultant

LearnSpring

NICOLAS BOITOUT

AI Program Manager

Citizen Central

Nicolas has been a data-scientist for the past 20y. He is living in Bucharest for more than 10y now, so he had the chance to see the take-off of this industry, around UiPath. He became the lead of a Center of Excellence on “AI, Analytics & Automation” for Societe Generale and led the effort to develop the usage of data analytics and solutions like RPA for its shared services centers of Bucharest & India/Bangalore & Chennai.

During 2021-2022, he was the Managing Director of the Romanian subsidiary of Inetum (IT services, 500 persons in Romania).

Nicolas is an entrepreneur who sees the world through data and algorithms. He also loves playing the guitar, seeing his 2 boys growing up, and cycling in the traffic jams of Bucharest.

NICOLAS BOITOUT

AI Program Manager

Citizen Central

Abstract

This presentation will explore how the combination of HuggingFace’s NLP models and vector databases can be used to tailor interactions, and ground them on a specific knowledge base (minimal hallucinations).

By enriching the user’s prompts with information retrieved live from your organization, the LLM can deliver highly personalized content, assistance & recommendations. It significantly improves user engagement and satisfaction.

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