Insights and analysis on enterprise AI
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We ran 8 experiments compressing GPT-2 Large with activation-aware SVD and LoRA recovery. The result: 1.6× inference speedup while surpassing the uncompressed baseline by 13%. Here is what we found and why it matters for enterprise AI deployments.
As AI assistants take hold in the enterprise, two extension patterns dominate modern architectures: Skills and MCP servers. They seem similar, but serve very different purposes. Here's how to choose.
These two terms are everywhere in AI discussions, often used interchangeably. Yet they describe very different realities — and picking the wrong approach for your use case can be costly.
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