Explore the development of the Conductor Microservice in this insightful video. Dive into the MARAGI microservices architecture and its role in generating machine-driven streams of consciousness. Learn about the conductor's function in orchestrating various microservices, including content prefixing and implementing heuristic imperatives. Discover the importance of agent models, purpose alignment, and internal tension in machine learning. Understand the significance of log creation and management for microservices. Examine task selection and prioritization processes for artificial cognitive entities. Gain valuable insights into the concept of a "Symphony of Thought" and how it relates to the overall MARAGI architecture. Suitable for those interested in advanced AI systems, microservices architecture, and cognitive computing.
Overview
Syllabus
- Writing a book on the meragi microservices architecture
- A stream of consciousness generated by a machine
- The conductor microservice
- Improving the microservices
- GPT3 logs
- The conductor service
- The content prefix and the heuristic imperatives
- The conductor module
- The need for an agent model
- Alignment with purpose
- Creating a log for a microservice
- The purpose of having a separate logs file
- The importance of internal tension for machine learning models
- The purpose of the microservices
- The need for a conductor in a symphony of thought
- Task selection and prioritization for an artificial cognitive entity
- The Heuristic Imperatives
- The machine's stream of consciousness
- Symphony of Thought
Taught by
David Shapiro ~ AI
