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UID:pretalx-ai-heroes-2023-GSN9AP@papers.synesthesia.it
DTSTART;TZID=CET:20231201T171500
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DESCRIPTION:The session elucidates the methodology to develop conversationa
 l agents by using an internal knowledge base\, with a primary focus on the
  following key facets:\n- Designing the solution to align with the foundat
 ional principles of AI engineering\, concurrently harnessing the conversat
 ional proficiencies of the Language Model (LLM).\n- Crafting the solution 
 within the framework of a serverless cloud infrastructure.\n- Systematical
 ly engineering the solution to ensure scalability within a production envi
 ronment.\n\nIn particular\, the session is meant to provide the perspectiv
 e of BIP xTech on creating AI-based assets such that they are sustainable 
 and effective in production with a massive amount of users.\n\nFurthermore
 \, we demonstrate how to integrate the powerful LLMs from OpenAI and Googl
 e into an efficient architecture capable of achieving scalability\, robust
 ness\, and cost-effectiveness while simultaneously matching the expectatio
 ns of end users with a user-friendly experience.
DTSTAMP:20260914T142703Z
LOCATION:Main stage
SUMMARY:Integrating Conversational Agents with Scalable Cloud Serverless Ar
 chitecture - Andrea Cola\, AI Engineer\, BIP xTech\, Sara Gemelli
URL:https://papers.synesthesia.it/ai-heroes-2023/talk/GSN9AP/
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