The market for Large Language Models (LLMs) is rapidly evolving as companies increasingly focus on leveraging these models for practical applications. Off-the-shelf LLMs are now being used to build products that enhance content writing and perform basic tasks, providing users with practical solutions. These products, often referred to as thin layers on top of LLMs, are limited in their capabilities and do not offer the same level of performance as LLMs that are specifically designed for a particular task.
At Inpris, we have taken a different approach by developing our unique cognitive architecture, which enhances logical reasoning, decision-making, and situational comprehension. This innovative approach has positioned us at the forefront of the global landscape and sets us apart from the competition.
A Game-Changer in Generative AI
Inpris HumAIns are autonomous employees that combine human qualities with AI capabilities, transforming the way businesses engage with their customers. By integrating human-like conversations with real-world actions and API activation, HumAIns have acquired the ability to accomplish tasks that were once exclusive to humans. This innovative technology is revolutionizing the potential uses of generative AI and bringing AI to life like never before.
Inspired by the human brain, our technology and algorithms enable HumAIs to think critically, engage in self-reflection, process information efficiently, and make rational choices.
This advanced technology allows HumAIns to achieve exceptional accuracy, perform actions and API activations, exhibit proactive behavior, and even express emotions.
How We Did It
This exceptional technology serves as the foundation of our system, a culmination of five years of relentless technological advancements that have granted us a significant edge in the realm of conversational and generative AI.
Five years ago, we revolutionized the mobility experience by creating a groundbreaking operating system with conversational AI, gesture recognition, and innovative HMI features.
Our unique approach enabled us to win prestigious awards, forge strategic partnerships, and launch successful pilot programs with paying customers.
These customers generated valuable data that allowed us to gain insights and employ Reinforcement Learning with Human Feedback (RLHF) techniques for training our LLM-based assistant.
By refining and enhancing performance through continuous feedback, we introduced HumAIns, a first-of-its-kind technology.
The Next Chapter of HumAIns
Inpris HumAIns are just the beginning of what is possible with our system. As we continue to develop our technology, we believe that HumAIs will become increasingly sophisticated and capable of performing even more complex tasks.
In the future, organizations will be able to train HumAIns in natural conversation, allowing them to adapt and grow through feedback from peers and managers. They will seamlessly collaborate with individuals across the organization, sharing knowledge and insights in real time.
HumAIs will also be able to autonomously analyze data, conduct authorized experiments, and continually improve their performance. By embracing self-improvement, we empower HumAIns to remain effective and relevant while preserving the organization's valuable knowledge.