Meta’s Llama AI engine sees rapid growth in open source adoption
Meta’s Llama AI engine has seen substantial growth in the open source AI landscape, emerging as a leading force in the industry. With nearly 350 million downloads to date, Llama models have experienced a significant increase in adoption over the past year. In July alone, the models were downloaded over 20 million times, positioning Llama as a prominent open source model family.
Since the introduction of Llama 3.1, which expanded context length to 128K and added support for multiple languages, usage by token volume across major cloud service providers has more than doubled in three months. This growth reflects an increasing preference for Llama within the developer community, making it a notable competitor in the AI field.
Accenture launches AI Refinery framework with NVIDIA AI Foundry for custom Llama 3.1 models
Accenture has unveiled its Accenture AI Refinery framework, built on NVIDIA AI Foundry, to help clients develop custom LLM models using the newly introduced Llama 3.1 collection. This framework, part of Accenture’s foundation model services, is designed to enhance the use of generative AI by allowing businesses to create LLMs tailored to their specific domains and business processes.
The AI Refinery framework includes four main components: domain model customization and training, the Switchboard platform for model selection, an enterprise cognitive brain for indexing corporate knowledge, and Agentic architecture for autonomous AI actions.