🤖 ARTIFICIAL INTELLIGENCE

Inside the race to build an ‘operating system’ for generative AI

• Generative AI is a transformative technology with the potential to add $4.4 trillion to the global economy.

• Enterprises face challenges in adopting generative AI and need to quickly embrace it before competitors gain an edge.

• An "operating system" for generative AI is needed to coordinate the interactions between generative AI applications and other enterprise assets.

• Building an operating system for generative AI involves four layers: data, development, runtime, and user experience.

• Companies are leveraging foundational large language models (LLMs) and customizing them for specific needs and goals through techniques like fine-tuning and data augmentation.

• Developers are using frameworks to enhance the intelligence and autonomy of LLMs by querying structured and unstructured data sources and using embeddings to process unstructured data efficiently.

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