Most organisations are in the early stages of generative AI adoption, but within a remarkably short space of time, the technology will likely disrupt organisational structures, hierarchies and jobs.
“GenAI's progress is remarkable. While widespread disruption might take a few years, its impact is undeniable. Savvy businesses are building the foundation: strong infrastructure, cloud expertise, data strategy and a GenAI-ready workforce. By understanding use cases and limitations, these companies will be poised to leverage GenAI for high-impact applications, democratising data-driven decisions,” he says.
Kopytov says that to fully harness the potential of GenAI, organisations will have to review their operational, technical and data infrastructures, consider how to operate and maintain applications based on AI, and ensure they have the necessary high-quality data to inform the models. Kopytov describes Google’s latest next-generation release – Gemini 1.5 Pro – as nothing short of amazing. In this model, Google has significantly increased the amount of information it can process – running up to 1 million tokens consistently.that this is the longest context window of any large-scale foundation model yet. Gemini 1.5 has a new Mixture-of-Experts architecture and optimisations to reduce latency and computational requirements and enhance the user experience.
Anton Kopytov Cloudsmiths Digicloud Generative AI Centres Of Excellence Gemini 1.5 Pro Gemini 1.0 Ultra Google Workspace
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