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Aleph Alpha
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Good Pretraining, Bad SFT: Checkpoint Quality Across the Training Stack
Sauerkraut, Not Burgers: Why German LLMs Need German Data
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
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