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Expanding Capabilities of General MLMs
The expansion of general MLMs into biology and robotics is showing promising progress, specifically in tasks like DNA sequence design and protein optimization. While models are advancing in areas like drug discovery and target identification, the robotic field is also progressing, albeit data constraints are a challenge. The future holds a proliferation of models covering various domains such as chemistry, material sciences, and robotics, with specific tailored approaches beyond just building large language models. In particular, companies are exploring game-centric strategies like self-play and sequential decision-making to enhance model capabilities.