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Practical articles on AI, DevOps, Cloud, Linux, and infrastructure engineering.

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Real-World RAG Incidents: Lessons from a Production Rollout
••4 months ago

Real-World RAG Incidents: Lessons from a Production Rollout

A field report from rolling out retrieval-augmented generation in production, including cache bugs, bad embeddings, and how we fixed them.

KU
Kiril urbonas
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Architecture Review: AI Inference Cost Optimization
••4 months ago

Architecture Review: AI Inference Cost Optimization

AI Inference Cost Optimization. Practical guidance for reliable, scalable platform operations.

KU
Kiril Urbonas
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Real-World RAG Incidents: Lessons from a Production Rollout
••5 months ago

Real-World RAG Incidents: Lessons from a Production Rollout

A field report from rolling out retrieval-augmented generation in production, including cache bugs, bad embeddings, and how we fixed them.

KU
Kiril urbonas
Read article
Real-World RAG Incidents: Lessons from a Production Rollout
••5 months ago

Real-World RAG Incidents: Lessons from a Production Rollout

A field report from rolling out retrieval-augmented generation in production, including cache bugs, bad embeddings, and how we fixed them.

KU
Kiril urbonas
Read article
Real-World RAG Incidents: Lessons from a Production Rollout
••5 months ago

Real-World RAG Incidents: Lessons from a Production Rollout

A field report from rolling out retrieval-augmented generation in production, including cache bugs, bad embeddings, and how we fixed them.

KU
Kiril urbonas
Read article
MLOps Pipelines: From Experiment to Production Models
••5 months ago

MLOps Pipelines: From Experiment to Production Models

Build MLOps pipelines for training, evaluation, and deployment. Reproducibility and monitoring.

KU
Kiril urbonas
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Real-World RAG Incidents: Lessons from a Production Rollout
••6 months ago

Real-World RAG Incidents: Lessons from a Production Rollout

A field report from rolling out retrieval-augmented generation in production, including cache bugs, bad embeddings, and how we fixed them.

KU
Kiril urbonas
Read article
Architecture Review: RAG Retrieval Quality Evaluation
••6 months ago

Architecture Review: RAG Retrieval Quality Evaluation

RAG Retrieval Quality Evaluation. Practical guidance for reliable, scalable platform operations.

KU
Kiril Urbonas
Read article
Real-World RAG Incidents: Lessons from a Production Rollout
••6 months ago

Real-World RAG Incidents: Lessons from a Production Rollout

A field report from rolling out retrieval-augmented generation in production, including cache bugs, bad embeddings, and how we fixed them.

KU
Kiril urbonas
Read article
Architecture Review: Prompt Versioning and Regression Testing
••6 months ago

Architecture Review: Prompt Versioning and Regression Testing

Prompt Versioning and Regression Testing. Practical guidance for reliable, scalable platform operations.

KU
Kiril Urbonas
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Architecture Review: LLM Gateway Design for Multi-Provider Inference
••6 months ago

Architecture Review: LLM Gateway Design for Multi-Provider Inference

LLM Gateway Design for Multi-Provider Inference. Practical guidance for reliable, scalable platform operations.

KU
Kiril Urbonas
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AI Security and Safety: Protecting Your AI Applications
••6 months ago

AI Security and Safety: Protecting Your AI Applications

Learn how to secure AI applications against prompt injection, data leakage, and adversarial attacks. Best practices for AI security in production.

KU
Kiril Urbonas
Read article
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