
Language-based agentic systems represent a breakthrough in artificial intelligence, allowing for the automation of tasks such as question-answering, programming, and advanced problem-solving. These systems, heavily reliant on Large Language Models (LLMs), communicate using natural language. This innovative design reduces the engineering complexity of individual components and enables seamless interaction between them, paving the way for […]
The post This AI Paper Introduces Semantic Backpropagation and Gradient Descent: Advanced Methods for Optimizing Language-Based Agentic Systems appeared first on MarkTechPost.