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Bounding Hallucinations: Merlin-Arthur Protocols for Mutual-Information Bounds in Language Models
Transparency as One Pillar of Sovereign AI: We Signed the Code of Practice on Transparency of AI-generated Content
Inference Performance from First Principles
Soft-Prompt Tuning for Fair and Efficient LLM Benchmark Evaluation
Mastering AI Output Quality in the Public Sector
Model Training as Code
Alpha-MoE: A Megakernel for Faster Tensor Parallel Inference
Ending Enshittification: The Case for Specialization and Sovereignty in AI
Strategy Over Hype: Unlocking AI’s Full Potential for Enterprises and Governments
PhariaFiles: File #02
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