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Reinforcement-Learning Audio Alignment for Multilingual VLMs

Practical insights on scaling speech pipelines and reinforcement learning for multilingual multimodal models—based on 30+ projects across 50+ languages

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Why Vision-Language Models Still Struggle With Real Business And STEM Workflows

VLMs perform well on academic benchmarks—but struggle in business and STEM workflows. Learn why real-world reasoning challenges remain unsolved.

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Advanced Strategies for High-Quality, Scalable, and Diverse Data for Multimodal LLMs

Technical brief from Turing AGI Advancement on real-world multimodal data pipeline design, covering annotation frameworks, calibration, QA, and ethical considerations for instruction tuning.

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Rapid Calibration Strategies for Multilingual Speech Pipelines

Speech alignment across 50+ languages depends on structured calibration—here’s how leading teams align transcripts, audio quality, and phonetic diversity.

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