Blog
Practical articles on AI, DevOps, Cloud, Linux, and infrastructure engineering.
Deep Dive: RAG Retrieval Quality Evaluation
RAG Retrieval Quality Evaluation. Practical guidance for reliable, scalable platform operations.
Deep Dive: Prompt Versioning and Regression Testing
Prompt Versioning and Regression Testing. Practical guidance for reliable, scalable platform operations.
Deep Dive: LLM Gateway Design for Multi-Provider Inference
LLM Gateway Design for Multi-Provider Inference. Practical guidance for reliable, scalable platform operations.
Practical Guide: SLO-Based Monitoring for APIs
SLO-Based Monitoring for APIs. Practical guidance for reliable, scalable platform operations.
Practical Guide: Python Worker Queue Scaling Patterns
Python Worker Queue Scaling Patterns. Practical guidance for reliable, scalable platform operations.
Practical Guide: Model Serving Observability Stack
Model Serving Observability Stack. Practical guidance for reliable, scalable platform operations.
Practical Guide: RAG Retrieval Quality Evaluation
RAG Retrieval Quality Evaluation. Practical guidance for reliable, scalable platform operations.
Practical Guide: Prompt Versioning and Regression Testing
Prompt Versioning and Regression Testing. Practical guidance for reliable, scalable platform operations.
Practical Guide: LLM Gateway Design for Multi-Provider Inference
LLM Gateway Design for Multi-Provider Inference. Practical guidance for reliable, scalable platform operations.
Fine-tuning Large Language Models: A Practical Guide
Learn how to fine-tune LLMs like Llama 2, Mistral, and GPT models for your specific use case. Includes LoRA, QLoRA, and full fine-tuning techniques.
Building Production-Ready AI Applications with LangChain and Docker
Learn how to containerize and deploy LangChain applications in production. Best practices for scaling, monitoring, and maintaining AI-powered services.
Fine-tuning Llama 3 on Consumer Hardware
Optimization techniques like LoRA and 4-bit quantization to run state-of-the-art models locally.