Optimize your ML workflows.
Random Contrast Learning (RCL™) is a universal classification algorithm that outperforms competitors with far lower costs in data, time, energy and hardware.
PrismRCL’s LLM Parameter.
PrismRCL is a CPU-optimized machine learning framework. The new LLM parameter streamlines preprocessing for LLMs, enabling faster and more efficient creation and training of LLMs, reducing time and complexity without compromising accuracy.
Build with the RCL API.
Implement Random Contrast Learning in your existing ML workflows employed for classification to reduce costs and increase accuracy.
RCL x GPT-4o ChatBot
By leveraging OpenAI’s GPT-4o API, we’ve created a prototype chatbot to allow an accessible window into the capabilities of RCL, inviting you to explore its potential in an intuitive, conversational format.
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Random Contrast Learning (RCL™): Tomorrow’s AI Revolution
Artificial Intelligence has been the flagbearer of innovation. Designed to perform human-like tasks, it is poised for significant breakthroughs that promise to accelerate its integration into society further. Random Contrast Learning (RCL™) changes that dynamic....
How Lumina AI & Deepseek are Driving the Next Wave of Machine Learning Innovation
The AI industry has traditionally equated larger model sizes, increased computational power, and greater complexity with superior performance. But this strategy is becoming ineffective, expensive, and unsustainable. As AI & machine learning adoption increases...
DeepSeek’s R1 Release Rightfully Puts Focus on AI Costs and Energy Efficiencies
Last week, DeepSeek AI released its first Large Language Model (LLM) DeepSeek R1. DeepSeek R1 competes favorably with other reasoning models, like OpenAI's O1 and Anthropic's Claude-Sonnet, despite far less costs for development. Other innovations of DeepSeek R1...
Work with Lumina AI
RCL promises to advance AI and to expand its related markets as we improve existing AI workflows by replacing neural networks employed for classification, thereby reducing capital expenditure and increasing accuracy.
As CPU resources remain accessible, we believe that Random Contrast Learning will allow for a new market for AI and machine learning – enterprises without access to the capital or resources to build an AI practice.
For enterprises interested in deploying Random Contrast Learning at scale, please contact us for additional information.