Description: Artificial intelligence frameworks are structures and guidelines that facilitate the development of AI applications and systems. These frameworks provide a set of tools, libraries, and conventions that allow developers to implement machine learning algorithms and data processing more efficiently. By standardizing processes and methodologies, AI frameworks help reduce the complexity of development, enabling teams to focus on creating innovative solutions. Additionally, these frameworks often include documentation and examples that guide developers in implementing AI techniques, resulting in faster learning and higher quality in final products. The relevance of AI frameworks lies in their ability to accelerate development time and improve collaboration among teams, which is essential in a rapidly evolving field like artificial intelligence.
History: null
Uses: null
Examples: null
