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"Why wouldn't I just simply use ChatGPT?"
Two topics should concern everyone about GPT:
Neither are sustainable nor acceptable for unsupervised use or within sensitive subjects.
"What is your logo? Why is it like that?"
It's a play on Neural Networks. In machine learning, the way we represent how a machine worked through its thinking is called a Neural Network map.
AI nodes (circles) imitate human neurons, AI edges (lines) imitate human synapses.
"What's the
Difference in AIs?"
est. 1950s
Computers thinking like a human.
Popular Uses:
• Speed to decision
• Consistent accuracy
• Finding hidden relationships
est. 1986
Deep Learning (DL)
Teaching Computers by Example
Popular Uses:
• Computer Vision
• Recommendations
• Scientific Research
• Logistics
• Supply Chains
• Fraud Detection
est. 1997
Maximizing Reward; Game Theory
Popular Uses:
• Gaming
• Industrial Automation
• Robotics
• Autonomous Systems
• Resource Optimization
• Natural Language Processing
est. 2018
Language + Reinforcement
Popular Uses:
• Creating pictures
• Template Generation
"Why start in
Huntsville, Alabama?"
Rocket City, USA is ranked a top city to live in that is growing at a breakneck pace. Huntsville has a well established engineering presence saturated with government wisdom.
We believe this city in particular is poised for serious continued growth now and for the next 10-20 years, and Reason would like to be a contributor to that growth.
"Is it agentic?"
Yes and in a much richer fashion than GPTs.
GPTs are pattern based and inherently do not have traditional AI inputs and outputs, their agents can only feed something into the "black box" GPT and see what comes out the other side. This is where GPT's traceability capabilities ultimately stops.
True ML/RL/DL agents have an entire landscape of inputs and outputs to work with, as there is no "black box" to tiptoe around. This affords an an advanced ability of statistical and mathematical analysis. Every input, function, and decision can be traced with our agents."
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