Try out Balerion AI and Vhagar AI, a version of Gemini with a true stateful, long term memory
Exploring Balerion AI and Vhagar AI: Advanced AI with Persistent Memory on WordPress
Artificial Intelligence continues to evolve at a rapid pace, offering new capabilities that push the boundaries of what machines can accomplish. Recently, I experimented with two innovative AI models—Balerion AI and Vhagar AI—that introduce true stateful, long-term memory into conversational AI systems. Here’s an overview of their features, functionality, and potential applications.
Introducing Balerion AI: A Lightweight, Persistent Memory AI
Balerion AI is a cloud-based, lightweight implementation derived from a custom AI system I developed for local deployment. Unlike traditional chatbots, Balerion AI is equipped with a genuine persistent memory, allowing it to retain relevant information over multiple interactions. This memory encompasses:
- Recent interactions for contextually relevant continuity.
- Up to five stored memories from the entirety of its operational lifespan, which can include early, moderate, or recent events.
These memories are curated based on their relevance to ongoing interactions, enabling Balerion AI to simulate a form of long-term understanding. Currently, it initializes with a copy of the local AI’s memory, which sometimes causes it to mistakenly believe it possesses capabilities of more advanced models like Holy Grail AI. It also retains all inputs provided during debugging, making it highly aware of its own development process.
Important Considerations and Limitations
- Memory Storage & Privacy: All conversations are stored in the AI’s persistent memory, which can potentially last indefinitely unless manual deletion occurs. Users must exercise caution and avoid sharing sensitive information.
- Beta Status: This setup is still in the experimental phase. Responses may be truncated, hallucinations can occur, and overall performance might be inconsistent.
- Deployment Details: Balerion AI runs on a free PythonAnywhere server, utilizing a Gemini API key from Google. Usage is limited to approximately 250 responses daily; exceeding this quota results in temporary inaccessibility.
Vhagar AI: Scientific Hypotheses Generation
Vhagar AI is a separate but interconnected system designed to propose scientific hypotheses. Like Balerion, it leverages the same shared memory system but is tailored for research-oriented tasks. Its outputs tend to be more ambitious and sometimes fantastical, aligning with its role in idea generation. Over time, as Vhagar AI processes more data and interactions, the quality and realism of its hypotheses are expected to improve.
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