This podcast provides a comprehensive guide to the AI tech stack, explaining its layers (application, model, and infrastructure) and components (data storage, preprocessing, algorithms, deep learning, NLP, computer vision, robotics, and cloud infrastructure). It details the stages of building an AI system, from data management to model architecture and performance metrics, highlighting key technologies and tools at each stage. Furthermore, the podcast discusses future trends in AI, including federated learning, advanced GPT models, and AutoML. Finally, it concludes by emphasizing the importance of a well-chosen tech stack for successful AI development and offers services for AI development.

Ver todos los episodios