According to DeepLearning.AI on Twitter, DeepLearning.AI has partnered with Meta to launch a new course, 'Building with Llama 4', designed to give AI developers practical experience with the Llama 4 family of large language models. The course covers how to leverage the Mixture-of-Experts (MOE) architecture and utilize the official Llama 4 API for developing real-world AI applications. This initiative demonstrates a growing trend in the AI industry to provide hands-on, up-to-date training for developers, and highlights business opportunities for organizations looking to integrate advanced generative AI models into their products and services (Source: DeepLearning.AI Twitter, June 23, 2025).

According to @Meta, the new Llama 4 AI model introduces significant upgrades for developers, such as a Mixture-of-Experts (MoE) architecture that lowers serving costs, advanced multimodal capabilities including image grounding, and expanded context windows capable of processing entire books or codebases. These features open new business opportunities for companies building large-scale generative AI applications, especially in sectors requiring cost-effective, high-performance AI solutions for processing complex and diverse data types (source: @Meta).

According to Andrew Ng (@AndrewYNg), Meta has unveiled a new short course, 'Building with Llama 4,' in partnership with @AIatMeta and taught by @asangani7, Director of Partner Engineering for Meta’s AI team. The course highlights the capabilities of Llama 4, which introduces three new models and incorporates the Mixture-of-Experts (MoE) architecture. This marks a significant advancement in open-source large language models, offering practical guidance for developers and businesses aiming to leverage Llama 4's improved efficiency and scalability. The initiative presents new opportunities for AI-powered product development, customization, and enterprise adoption, especially for organizations seeking robust, cost-effective language model solutions (Source: Andrew Ng, Twitter, June 18, 2025).