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Harnessing Silicon: How In-House Chips Are Shaping the Future of AI

Unite.AI

Artificial intelligence, like any software, relies on two fundamental components: the AI programs, often referred to as models, and the computational hardware, or chips, that drive these programs. This has led to substantial environmental implications for training and using AI models.

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Generative AI use cases for the enterprise

IBM Journey to AI blog

Tools such as Midjourney and ChatGPT are gaining attention for their capabilities in generating realistic images, video and sophisticated, human-like text, extending the limits of AI’s creative potential. Custom-trained models: Most organizations can’t produce or support AI without a strong partnership.

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Framing AI strategy

AI Impacts

OpenAI's ); share it; update and improve it; and coordinate with capabilities researchers, alignment researchers, or other labs if relevant Make a plan for what to do with powerful AI (e.g., Intermediate goals are useful because we often need more specific and actionable goals than "make the future go better" or "make AI go better."