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How to design, QA, and scale unified pipelines for audio, vision, text, and click-stream data—so large language models learn from truly integrated signals.

How to use emotion, prosody, and phoneme labels to generate reinforcement signals that fine-tune multilingual vision-language models.

Technical details on our 700-task benchmark built for real-world business and STEM reasoning to stress-test frontier VLMs.