From Gemini to Q-Star
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A 300+-paper survey mapping the state of Generative AI and the research frontiers that followed the Gemini + rumored Q* news cycle.
Broad coverage: Surveys developments across language, vision, audio, and multimodal generative systems, treating Gen AI as a unified field rather than siloed modalities.
Computational challenges: Catalogs scalability, efficiency, and alignment challenges currently gating further progress, including training compute, inference serving, and evaluation.
Real-world applications: Reviews Gen AI impact across healthcare, finance, and education, highlighting where genuine deployment signals diverge from hype.
Future directions: Identifies agent frameworks, reasoning, grounded multimodality, and alignment as the most live research areas heading into 2024.
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