Blog
Practical articles on AI, DevOps, Cloud, Linux, and infrastructure engineering.
Operational Checklist: LLM Gateway Design for Multi-Provider Inference
LLM Gateway Design for Multi-Provider Inference. Practical guidance for reliable, scalable platform operations.
Architecture Review: LLM Gateway Design for Multi-Provider Inference
LLM Gateway Design for Multi-Provider Inference. Practical guidance for reliable, scalable platform operations.
Embedding Models Comparison: Choosing the Right Model for Your Use Case
Compare popular embedding models including OpenAI, Sentence-BERT, and open-source alternatives. Learn which model fits your RAG, search, or similarity tasks.
AI Cost Optimization: Reducing LLM Inference Costs by 80%
Learn proven strategies to reduce AI inference costs including model quantization, caching, batching, and efficient prompt design. Real-world cost savings examples.
Fine-tuning vs Few-Shot Learning: When to Use Each Approach
Compare fine-tuning and few-shot learning for adapting LLMs. Learn when to use each approach and their trade-offs in terms of cost, performance, and complexity.
Multi-Agent AI Systems: Building Collaborative AI Applications
Learn how to build multi-agent AI systems where multiple AI agents collaborate to solve complex tasks. Architecture patterns and implementation guide.
Model Quantization Techniques: Reducing LLM Size and Cost
Learn how to reduce LLM model size and inference costs using quantization techniques like Q4, Q8, and GPTQ. Practical guide with benchmarks.
Vector Databases for AI: Comparing Pinecone, Weaviate, and ChromaDB
Compare the top vector databases for AI applications. Learn when to use Pinecone, Weaviate, or ChromaDB based on your requirements.
Building RAG Applications: A Complete Guide to Retrieval Augmented Generation
Learn how to build production-ready RAG applications using vector databases, embedding models, and LLMs. Complete guide with code examples and best practices.
Best Practices: LLM Gateway Design for Multi-Provider Inference
LLM Gateway Design for Multi-Provider Inference. Practical guidance for reliable, scalable platform operations.
Troubleshooting: LLM Gateway Design for Multi-Provider Inference
LLM Gateway Design for Multi-Provider Inference. Practical guidance for reliable, scalable platform operations.
Field Notes: LLM Gateway Design for Multi-Provider Inference
LLM Gateway Design for Multi-Provider Inference. Practical guidance for reliable, scalable platform operations.