CnEL India

machine learning

Production-Ready Large Language Model Inference on Kubernetes: A Practical Approach to Distributed GPU Serving

By Chan SaiPosted on Posted in BlogNo Comments on Production-Ready Large Language Model Inference on Kubernetes: A Practical Approach to Distributed GPU Serving

Introduction Running a large language model in a development environment is very different from operating the same model in production. A local deployment may work perfectly when serving a few requests, but production workloads introduce a completely different set of challenges. Multiple users may send requests simultaneously, models may require several GPUs, response-time requirements may […]

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Case Study: Developer for GPT-Powered Automated Response System for Facebook Marketplace

By Editor89Posted on Posted in Case StudiesNo Comments on Case Study: Developer for GPT-Powered Automated Response System for Facebook Marketplace

Overview 😊 We were tasked with developing a GPT-powered automated messaging system for Facebook Marketplace, integrating real-time inventory data to respond to customer queries swiftly and accurately. The goal was to streamline customer interactions, ensure consistency in responses, and ultimately boost sales through efficient automation. This case study highlights the journey of the development process, […]

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