ANZ, one of Australia's Big Four banks, is driving engineering efficiency with Llama.

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ANZ Bank successfully implemented Llama to enhance engineering efficiency through their Ensayo AI platform. The bank leveraged Llama's flexible deployment options for compliance, evolved from basic prompt-response tasks to advanced RAG capabilities with Llama 3, and fine-tuned the model using internal datasets including API specifications and incident history. The implementation required establishing dedicated AI governance committees and secure sandbox environments. ANZ plans to adopt the larger 405B model while focusing on smaller, specialized models for specific tasks, demonstrating that targeted fine-tuning can be more effective than simply using larger models.

How Llama helps drive engineering efficiency at a major Australian bank