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Computer vision, RAG and automation: from terrain to prototype to measurable use.
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EmbeddingGemma 2: how can you build a local multimodal RAG for text, code, images, and audio? Architectures, a Python tutorial, memory, and privacy.
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ChatGPT plugins, MCP, and embedded interfaces: the criteria for deciding which SaaS features to expose and how to preserve their permissions.
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My RAG AI assistant with WebGPU: first version, benefits, limitations, and possible applications for real estate, catalogs, and business websites.
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A computer vision project is not limited to choosing YOLO: data, terrain conditions, integration and quality measurement count as much.
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An RAG system links an AI to trusted documents to produce useful, sourcing and rights-of-access responses.
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