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All digests tagged Data Sovereignty
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Deploying AI in major banks requires overcoming compliance hurdles. The speaker details three pillars: securing the build pipeline, ensuring disaster recovery, and preventing PII leakage using advanced techniques like agent-based CVE testing.
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The talk explores AI's role as a GPT, detailing the shift from simple prompting to complex 'software factories.' Key focus areas include agentic safety, data sovereignty, and advanced orchestration using sandboxes.
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Open models are key to building trust and sovereignty. By owning the full stack—from weights to training traces—developers can specialize AI for niche use cases, achieving performance that surpasses generalized frontier closed APIs.
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AI News & Strategy Daily | Nate B Jones
DeepSeek V4 Pro charges just 87 cents for a million tokens, compared to Kimi K3 at $15. Evaluating Chinese models requires focusing on 'cost per accepted result,' not just token price.
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Speakers at the AI Engineer World's Fair debated the shift from centralized cloud LLMs to local, open-source models. Key topics included model routing (Fugu), agentic workflows using W&B's Coreweave Ara, and ensuring data sovereignty through on-device inference.
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