Llama AI Model Sees Widespread Adoption Across Industries

A vibrant community of developers is fine-tuning Llama, a large language model, for their own use cases. Large enterprises like AT&T, DoorDash, Goldman Sachs, Niantic, Nomura, Shopify, Spotify, and Zoom are just a few success stories. Infosys and KPMG are also using Llama internally. Accenture is building a custom LLM for ESG reporting, expecting to improve productivity by 70% and quality by 20-30%. AT&T has improved customer care by nearly 33% through fine-tuning Llama models.

DoorDash uses Llama to streamline daily tasks for its software engineers. Goldman Sachs’ AI platform allows engineers to use Llama models in a safe and responsible way. Niantic integrated Llama into its AR game Peridot, transforming virtual creatures into responsive pets. Nomura uses Llama on AWS for faster innovation and robust performance. Shopify experiments with open-source models like LLaVA, built on Llama foundations. Zoom powers its AI Companion with Llama to help workers avoid repetitive tasks.
The Llama Revolution: How Open-Source AI is Democratizing Innovation

The numbers are impressive: Llama is the number two most considered model, according to a survey from Artificial Analysis, an independent site for AI benchmarking. But what’s truly exciting is the vibrant community of developers fine-tuning Llama for their own use cases. From Accenture to Zoom, large enterprises are leveraging Llama to drive innovation and improve productivity.

Let’s take a closer look at some of the incredible case studies:

• Accenture is using Llama 3.1 to build a custom LLM for ESG reporting, expecting a 70% improvement in productivity and 20-30% improvement in quality.
• AT&T has fine-tuned Llama models to improve customer care, resulting in a nearly 33% improvement in search-related responses while reducing costs and speeding up response times.
• DoorDash uses Llama to streamline daily tasks for its software engineers, such as answering complex questions and delivering actionable pull request reviews.
• Niantic integrated Llama to create responsive AR pets that exhibit smart behaviors, making every interaction dynamic and unique.

These success stories demonstrate the power of open-source AI. By making Llama available to everyone, Meta AI is democratizing innovation and driving progress in various industries.

The benefits of open-source AI are clear: faster innovation, transparency, bias guardrails, and robust performance across multiple use cases. As Nomura’s experience on AWS shows, Llama can be used for text summarization, code generation, log analysis, and document processing, among other applications.

Shopify is another example of a company experimenting with best-in-class open-source models, including LLaVA, which is built on the foundations of Llama. They’re using finetunes of LLaVA for multiple specialized tasks, supporting their work on product metadata and enrichment.

As Zoom’s AI Companion demonstrates, Llama can be used to power generative AI assistants that help workers avoid repetitive tasks, freeing up more time for collaboration and creativity.

The future of AI is open-source, and Llama is leading the way. By building in the open, Meta AI is ensuring that the benefits of AI extend to everyone. As the Llama ecosystem expands, so too do the capabilities and accessibility of Meta AI.

Stay tuned for more updates on the incredible ways developers and companies are finding value with Llama. And if you’re new to Llama, download the latest models and start building today!