f o T B d A r Y L Today s topic is AI system design and joining with me is Siddhan Pande who is a Google developer expert and AI engineer who has experience of building large scale systems both in AI as well as software Okay So let s assume there is this AI engineer Peter Pande who is working in an e commerce company called Blipcard which is basically building an AI chatbot like this This is more like Ruffus of Amazon where you can track your order You can actually place the order So this is an agentic chatbot So Peter started work on it
Additional considerations for EN include continuous monitoring, testing, and iterative improvement based on user feedback.
Additional considerations for EN include continuous monitoring, testing, and iterative improvement based on user feedback.
Additional considerations for EN include continuous monitoring, testing, and iterative improvement based on user feedback.
Additional considerations for EN include continuous monitoring, testing, and iterative improvement based on user feedback.
Additional considerations for EN include continuous monitoring, testing, and iterative improvement based on user feedback.
Additional considerations for EN include continuous monitoring, testing, and iterative improvement based on user feedback.
Additional considerations for EN include continuous monitoring, testing, and iterative improvement based on user feedback.
Additional considerations for EN include continuous monitoring, testing, and iterative improvement based on user feedback.
Additional considerations for EN include continuous monitoring, testing, and iterative improvement based on user feedback.
Additional considerations for EN include continuous monitoring, testing, and iterative improvement based on user feedback.
Additional considerations for EN include continuous monitoring, testing, and iterative improvement based on user feedback.
Key moments
AI commentary
"Building a prototype is easy, but making it production-ready requires careful attention to reliability, safety, and scalability. This article breaks down the key pillars of AI system design that every engineer should consider before launching an LLM application."
Sources
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- @youtube.com YouTube - AI system design and LLM chatbot production
- @databricks Unity Gateway: Governance Layer for Agentic AI
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- @rasa How to Build and Deploy Conversational AI | Rasa Blog
- @pertamapartners AI Chatbot Implementation Guide: From Selection to Launch
- @aws Guardrails for Amazon Bedrock can now detect hallucinations
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- @sukruyusufkaya Kurumsal Yapay Zekâ Mimarisi Nasıl Tasarlanır? Veri, Model,
- @itkraft Prompt Engineering’den System Design’a: LLM’lerle Ürün Geliş
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- @trendmicro Yapay Zeka Sıfır Güven Güvenli Erişim (ZTSA) - Vision One |
- @sursecurity SUR — Yapay Zeka Güvenlik Katmanı | AI Firewall
- @messervices POUR UN SYSTÈME D'IA GÉNÉRATIVE
- @cnil IA : Tenir compte de la protection des données dans la conce
- @aoc L'AOC publie son guide des bonnes pratiques pour la mise en
- @starclay Industrialiser un LLM en production : Défis et bonnes pratiq
- @messervices POUR UN SYSTÈME D'IA GÉNÉRATIVE
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- @entia AgentOps: operaciones de agentes de IA en producción | ENTIA
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- @comcomponent Diseño de chatbots: procedimiento y errores comunes
- @aws Gobernanza de datos con IA generativa - Barreras de protecci
- @truefoundry ¿Qué son las barandillas de IA?
artificial intelligence · system · design · building · production-ready · chatbots · nodesdaily