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The AI Factory: Engineering Modern LLM Inference Pipelines | Uplatz
Modern AI systems are no longer simple models running isolated predictions—they operate like massive digital factories processing billions of requests, orchestrating GPUs, managing memory, and delivering intelligent responses at global scale. In this video, we explore “The AI Factory” and break down how modern LLM inference pipelines are engineered for performance, scalability, and efficiency. This video is by Uplatz. You’ll learn how large language model inference works behind the scenes, from token generation and request routing to distributed GPU execution and response optimization. We explain why inference engineering has become one of the most critical challenges in the generative AI era. The video dives into core components of modern inference pipelines including model serving, batching strategies, KV cache management, GPU scheduling, vector databases, retrieval-augmented generation (RAG), and low-latency orchestration systems. You’ll understand how organizations optimize infrastructure to reduce inference costs while maintaining performance and responsiveness. We also explore technologies and frameworks used in production AI systems such as Kubernetes, Ray, and vLLM for scalable AI deployment and inference acceleration. Additionally, we discuss concepts like model quantization, mixture-of-experts (MoE) architectures, inference parallelism, autoscaling, observability, and AI infrastructure optimization. Learn how companies engineer AI platforms capable of serving millions of users across enterprise applications, copilots, AI agents, and multimodal systems. Whether you're an AI engineer, platform architect, DevOps professional, cloud engineer, researcher, or technology enthusiast, this video provides a practical and structured understanding of how modern LLM inference factories operate at scale. For full course browse https://uplatz.com/online-courses #LLM #GenerativeAI #AIInfrastructure #MLOps #LLMOps #ArtificialIntelligence #vLLM #GPUComputing #AIEngineering #Uplatz ---------------------------------------------- 🌐 Welcome to Uplatz – Your Gateway to Career Transformation! To access full courses or training bundles: 🌐 https://uplatz.com 📧 support@uplatz.com 🎓 About Uplatz Uplatz is a global leader in online IT and professional training, offering comprehensive courses in AI, machine learning, data science, cloud computing, cybersecurity, and enterprise technologies such as SAP, Oracle, Salesforce, and ServiceNow. With expert-led programs and real-world learning paths, Uplatz empowers learners and organizations across 190+ countries to build future-ready skills and thrive in the digital era. 📘 Explore Uplatz Course Portfolio Learn the most in-demand and emerging technologies with Uplatz: ✅ AI & Machine Learning – Agentic AI, LLMs, LangChain, Deep Learning, MLOps, LLMOps ✅ Cloud & DevOps – AWS, Azure, GCP, Docker, Kubernetes, Terraform, CI/CD ✅ Data & Analytics – Data Science, Data Engineering, Power BI, Tableau, Big Data (Spark, Kafka) ✅ Programming & Frameworks – Python, FastAPI, Django, Java, JavaScript, SQL ✅ Cybersecurity & Blockchain – Ethical Hacking, Cloud Security, Zero Trust, Blockchain & Web3 ✅ IoT & Embedded Systems – IoT Platforms, Edge Computing, Embedded C, Microcontrollers ✅ ERP & CRM – SAP (all modules), Salesforce, Oracle ERP, Microsoft Dynamics ✅ Web & App Development – Full-Stack Development, React, Angular, Node.js, Flutter 🎓 Master cutting-edge skills. Build your tech career with Uplatz. 🌐 Learn more: https://uplatz.com 🎯 Why Choose Uplatz ✔️ Job-focused, project-based learning ✔️ Globally recognized certifications ✔️ Lifetime access & affordable pricing ✔️ Career guidance and mentorship 🔔 Subscribe for weekly tech tutorials, demos, and success stories. 📲 Follow us on LinkedIn, Instagram, Twitter, and Facebook. #Uplatz #Tech #Technology #MachineLearning #CloudComputing #Learning
Reconocimiento de imágenes con IA - 01 - Convoluciones y filtros
Aprende a hacer tu propia visión artificial desde cero. En este video veremos el funcionamiento de las convoluciones y los filtros, la base para el uso de redes neuronales convolucionales y la visión artificial avanzada. Puedes probarlo en vivo aquí: Imagen: https://ringa-tech.com/vision01/imagen.html Cámara web: https://ringa-tech.com/vision01/camara.html El código fuente está aquí: https://github.com/ringa-tech/reconocimiento-imagenes-convoluciones-filtros Ya tengo cursos! Aprende a programar desde cero con Python: https://www.domestika.org/es/courses/5228-introduccion-a-la-programacion-con-python/ringatech Aprende IA desde cero con Python: https://www.domestika.org/es/courses/5239-introduccion-a-la-ia-con-python/ringatech ¿Te gustaría apoyarme para generar contenido más constantemente? Patreon: http://bit.ly/patreon-ringatech ¿Quieres ver una red neuronal aprendiendo a manejar por sí sola? https://youtu.be/5vwBQ_KoD60 ¿Quieres una explicación simple y no-técnica, de por qué las redes neuronales pueden generar aprendizaje? https://youtu.be/CU24iC3grq8 Si el video te sirvió, por favor compártelo a quien crees que le pueda servir. = = = CONTENIDO 0:00 - Introduccion 0:35 - El proceso de convolucion 7:35 - Deteccion de ejes con convoluciones 9:04 - Filtros en camara web 9:44 - Operador Sobel y Algoritmo de Canny = = = = = = = = = = = Información de música de fondo Inspired Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 3.0 License http://creativecommons.org/licenses/by/3.0/ Acid Jazz by Kevin MacLeod is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/by/4.0/ Source: https://freemusicarchive.org/music/Kevin_MacLeod/Jazz_Sampler/AcidJazz_1430 Artist: http://incompetech.com/