According to Andrew Ng on Twitter, a new short course led by @BanghuaZ, Assistant Professor at the University of Washington and co-founder of Nexusflow, teaches AI professionals how to post-train and customize large language models (LLMs). The course focuses on practical methods for fine-tuning LLMs to follow specific instructions and answer domain-specific questions, a critical step for deploying AI solutions tailored to industry needs. This hands-on approach addresses the increasing demand for customized AI models in sectors like enterprise software, customer service automation, and healthcare, highlighting significant business opportunities for companies that invest in post-training expertise (Source: Andrew Ng on Twitter, July 9, 2025).

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).