After leaving Kruel to ingest all the openai and ollama api understanding today I was very happy to report that Lynda now understands all the api capabilities, along with it code. which is awesome news. Now to star training it some more on its own fundamentals to see where we can improve it some more. I may have to look into training it on other articles and data I read so it can understand other methods out there for different algorithms , processes, and more. Still no data wipes required, memory is holding.
I am currently trying to clone it over again to the laptop so that I can take it on the road today to visit some people to demo off the latest build to show of some of its new capabilities.
Documentation Processing System Development Update
We have initiated development of a comprehensive documentation processing system designed to enhance our AI’s knowledge base. Here are the key features and capabilities:
Document Integration
- The system accepts and processes multiple document formats through our upload interface
- Documents are converted into a specialized read-only memory type specifically designed for technical documentation, code, and manuals
- This preserves the integrity of source materials while allowing them to be referenced
Intelligent Query Processing For example, when a user asks “How do I access the calibration mode on an M2000?”, the system:
- Retrieves relevant technical documentation from the protected memory
- Combines this with existing user interaction history and contextual understanding
- Processes the query through our Chain of Thought (COT) and GAP analysis systems
- Generates accurate responses while maintaining document integrity
Cross-Reference Capabilities
- The system maintains the ability to analyze relationships across different memory types
- It can synthesize information from multiple data sets based on query context
- This new documentation layer integrates seamlessly with existing memory systems
The architecture ensures source documentation remains unaltered while allowing the AI to learn and improve its response accuracy through user interactions. This maintains both reliability and adaptability in the system’s knowledge base.
Here are some images of one of my process testors which is testing older simple system vs the new doc processor.
Handles code:
