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

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Best Practices: Prompt Versioning and Regression Testing
••9 months ago

Best Practices: Prompt Versioning and Regression Testing

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

KU
Kiril Urbonas
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Best Practices: LLM Gateway Design for Multi-Provider Inference
••9 months ago

Best Practices: 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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Real-World RAG Incidents: Lessons from a Production Rollout
••9 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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Real-World RAG Incidents: Lessons from a Production Rollout
••10 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
••10 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
••10 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
••10 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
••11 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
Troubleshooting: AI Inference Cost Optimization
••11 months ago

Troubleshooting: 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
••11 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
••11 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
••11 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
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