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AI LLM Engineering: Building Production-Ready Language Model Applications

AI LLM Engineering: Building Production-Ready Language Model Applications
January 15, 202618 min read

AI LLM Engineering: Building Production-Ready Language Model Applications

A comprehensive guide to designing, implementing, and deploying Large Language Model applications. Covers prompt engineering, RAG architectures, fine-tuning strategies, evaluation metrics, and production deployment patterns.

AI/MLLLMEngineeringPython
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Building Robust OCR Systems: From Theory to Production

Building Robust OCR Systems: From Theory to Production
January 10, 202615 min read

Building Robust OCR Systems: From Theory to Production

Deep dive into Optical Character Recognition systems. Covers preprocessing techniques, Tesseract OCR, deep learning approaches with CRNN, handling noisy documents, and building end-to-end OCR pipelines.

Computer VisionOCRDeep LearningPython
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Microservices Architecture: Understanding CAP Theorem in Distributed Systems

Microservices Architecture: Understanding CAP Theorem in Distributed Systems
January 5, 202620 min read

Microservices Architecture: Understanding CAP Theorem in Distributed Systems

Master the CAP Theorem and its implications for distributed system design. Learn about consistency patterns, partition tolerance strategies, eventual consistency, and practical trade-offs in microservices architecture.

Distributed SystemsMicroservicesArchitectureBackend
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Site Reliability Engineering: SLOs, SLIs, and Error Budgets from Google's Playbook

Site Reliability Engineering: SLOs, SLIs, and Error Budgets from Google's Playbook
January 1, 202622 min read

Site Reliability Engineering: SLOs, SLIs, and Error Budgets from Google's Playbook

A practical guide to implementing SRE practices based on Google's SRE guidebooks. Covers Service Level Objectives (SLOs), Service Level Indicators (SLIs), error budgets, incident management, and building a reliability culture.

SREDevOpsReliabilityGoogle Cloud
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