I learn about generative AI (blog.pamelafox.org)

In a recent exploration of generative AI, a developer shared their journey from novice to capable application builder utilizing generative AI models. They highlighted several educational resources, including Chip Huyen's "AI Engineering," which provides a high-level overview of the industry and emphasizes the importance of evaluation in AI applications. The developer also praised hands-on resources like "Build a Large Language Model," which details the architecture and implementation of LLMs, and video series by experts such as Andrej Karpathy and James Briggs, which delve into neural networks and vector search technologies. This initiative is significant for the AI/ML community as it showcases the importance of continuous learning and skill development in a rapidly evolving field. By sharing personal resources, including newsletters from thought leaders and fostering collaborative environments like company chat channels and study hours, the developer is not only advancing their own understanding but also contributing to the collective knowledge of practitioners. This approach encourages more developers to engage with generative AI, emphasizing practical application and experimentation to discover both the potentials and limitations of these technologies.