Capability Comparison
Capability
Typical AI
MythWorx
Data Input
Manual
Automatic
Learning Style
Expensive training and periodic retraining
Low-cost continuous real-time learning
Adaptability
Non-Adaptive
Adaptive, dynamically modifies connections like the human brain
Style of learning
Inert repository
Active reasoning
Interactivity
Static
Dynamic
Timing
Episodic
Realtime
Level of Supervision
Supervised
Self supervised
Functionality Constraints
Bounded
Unbounded
Labeling
Required
Not required
Potential Bias
Biased
Unbiased
Training Data Structuring
Structured
Unstructured
Token Context
Generative pre-trained transformers
Dynamic multi-modal graph-based
Processing Capacity
1 trillion parameters
100 quintillion parameters
Context Window
32,000 token limit
No token limit
Security
Highly vulnerable
Highly secure
Operational Level
Application level
Application, OS, and kernel level
Efficiency
Inefficient
Highly efficient
Computation Effort
High computational overhead using power-hungry GPUs/TPUs for even simple queries
Asynchronous, event-driven computation that processes only necessary data in parallel
Memory and Storage Efficiency
High memory bandwidth due to constantly shuffling data between storage and processors
Low memory bandwidth due to using in-memory computing, can perform analog processing on neuromorphic chips
Platform Characteristics
Cloud dependent on large-scale datacenters
Edge computing ready with the ability to run on small, low-power devices
Sustainability
Unsustainable: the world will run out of compute power at current rates
Sustainable: learns with little additional compute power
Hallucinations
Grow with LLM growth due to tokenized predictions
Reduced due to context-based associations
Pruning
No ability to prune or cleanse contamination or redundant data
Low confidence (<95%) and redundant data is automatically pruned
Capability White Paper
In an industry of giants, MythWorx proves that a focused team of experts can build more powerful and efficient AI. This white paper details the unique philosophy and lean methodologies behind our engine.
Learn about our:
- AI Framework Approaches: An inside look at the unique, resource-light methods we use to achieve superior results.
- Applications & Domain Use Cases: A practical guide to deploying our versatile platform in your industry.
- Efficiency & Sustainability: A breakdown of how our focus on computational efficiency reduces costs and promotes Green AI.
Discover how our smarter approach delivers a decisive competitive advantage.