AIAI ModelsArtificial Intelligence

How the Royal Navy is using AI to cut its recruitment workload

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The Royal Navy is handing the first line of its recruitment operations to a real-time AI avatar called Atlas. Atlas is powered by a large language model and has been deployed to field questions from prospective submariners.

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Overview

The Royal Navy is handing the first line of its recruitment operations to a real-time AI avatar called Atlas. Atlas is powered by a large language model and has been deployed to field questions from prospective submariners. The deployment shows how AI can support a shift from slow text-based triage to fast and immersive automated […] The post How the Royal Navy is using AI to cut its recruitment workload appeared first on AI News.

Key Insights

The artificial intelligence landscape continues to evolve at a rapid pace, bringing new opportunities and challenges for businesses and consumers alike.

Industry Impact

These developments have significant implications for various industries, from healthcare and finance to transportation and entertainment.

Future Implications

As AI technology advances, we can expect to see continued innovation and transformation across multiple sectors.

Conclusion

The ongoing evolution of AI technology promises to reshape how we work, live, and interact with technology in the years to come.

TOPICS:

AIAI ModelsArtificial IntelligenceHealthcareHealthcare AIMachine Learning

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