AI from Hype to Production: Model Optimization, Edge Deployment, and RAG | Lid Vizion Workshop скачать в хорошем качестве

AI from Hype to Production: Model Optimization, Edge Deployment, and RAG | Lid Vizion Workshop

Join the Lid Vizion team Co-founder and CEO Shawn Wilborne, AI Engineer Simon Susmitha, Applied AI Engineer Ameya Kashid, and Data Analyst turned AI Strategist Sai Hemanth Gummadapu as they dissect the key insights from the India AI Impact Summit and provide a practical roadmap for moving AI systems from experimental hype to robust, trustworthy production. 🔹 Infrastructure Reality Check AI progress is currently more limited by compute and infrastructure than by ideas. Learn why AI-ready data centers are non-negotiable for scale. 🔹 Model Production Lifecycle & Quantization How 8-bit quantization reduces model size 4-8x and improves inference speed 2-3x for real-world deployments. 🔹 Edge + Cloud Hybrid Deployment See the Fit Viz case study real-time pose tracking on-device to manage bandwidth and latency constraints. 🔹 RAG for Enterprise AI How Retrieval Augmented Generation grounds LLMs in verified enterprise data to eliminate hallucinations. 🔹 Backend as a Service The Digi Dash case study turning AI signals into customer-facing dashboards with automated actions. Follow Lid Vizion for more applied AI content: 🌐 https://lidvizion.com