Combining Symbolic and Sub-symbolic Approaches in Gen AI Systems

The chapter explores the integration of knowledge graphs and semantic structures with large language models to enhance performance and reduce hallucinations in AI systems. It emphasizes the benefits of combining symbolic and sub-symbolic methods to improve neural networks like LSTM, transformers, and XLSTM. The chapter also covers upcoming events, training for AI implementation, and insights from experts in the industry.