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Deep technical guides, product strategy, and lessons from shipping production AI and software for global clients.
Retrieval-Augmented Generation has moved from research curiosity to production staple. Learn how to architect a RAG pipeline that handles real-world scale, latency constraints, and hallucination mitigation using LangChain and vector databases.
Next.js 15 ships with Turbopack as default, improved Server Actions, and partial prerendering that changes how we think about static vs. dynamic content.
TypeScript's type system is powerful enough to encode complex domain logic at compile time. These patterns will make your codebase more maintainable and your bugs show up before runtime.
General-purpose LLMs are impressive, but domain-specific fine-tuning can yield 2-4x better performance on specialised tasks while cutting inference costs. Learn the complete fine-tuning workflow using LoRA and QLoRA.
Choosing the wrong LLM foundation for your product can cost you months of rework. We ran 2,000 test cases across GPT-4o, Claude 3.5 Sonnet, and Gemini Pro to give you the definitive production comparison.
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