Practical articles, in-depth tutorials, and architectural insights on software engineering, AI, and systems.
Discover how Intel's new NPU architecture inside Panther Lake processors turns standard laptops into energy-efficient local artificial intelligence workstations.
Explore how Intel's Panther Lake architecture merges central processing units, integrated graphics, and artificial intelligence accelerators into a single silicon die, redefining energy efficiency and performance standards in personal computing.
Explore how Tensor Processing Unit accelerators optimize large-scale language model inference in high-demand production environments. We analyze hardware architectures, XLA compilation strategies, and real operational trade-offs.
Learn how to build robust autonomous agents in production using hybrid RAG, graph databases, and vector stores for long-term persistence and coordinated decision-making.
Learn how to build resilient data flows to extract information from complex PDFs, tables, and receipts using visual artificial intelligence and language models.
Learn how to build reliability guardrails and evaluation systems for artificial intelligence agents that use external tools, reducing errors and fabricated responses in enterprise environments.
Learn how to build a high-performance vector database infrastructure using Qdrant and the HNSW algorithm to handle millions of simultaneous queries in artificial intelligence systems.
Learn how to adapt large language models using low video memory on local servers by combining cost-effective fine-tuning techniques.
Learn how to build semantic unit testing pipelines to guarantee the quality of LLM responses. Discover how to validate AI behaviors in an automated and deterministic manner.
Learn how to design resilient distributed architectures and data pipelines combining artificial intelligence and batch processing to transform complex documents into structured information.
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