A novel, binary language model Deep Learning AI platform that answers real question without hallucinations.
Triad Dataspace™
All AI Analytics Tools Aren't The Same!
Predictive Large-Language Models (P-LLM-AI) is not the best approach to some types of knowledge domains. P-LLM-AI solutions can produce false answers (called hallucinations) because of how they work in trying to find missing information in real-world, dynamic systems, in imaging, pathology, waveform and healthcare surface analytics, and new biological agent discovery problems.
A different approach to AI systems is to learn the ontology of real-world systems, and use that to answer hypothetical questions. This approach doesn't invent solutions that aren't real, it reveals solutions that are real, but obscured or overlooked. Doing this reduces the risk of false positive and false results, crucial in many healthcare (and other life-risking) where the wrong solution can result in individual deaths or catastrophic outcomes for entire populations.
Being first to the market with an AI that sometimes provides flawed or using narrative warfare techniques to mislead human users, does not address the responsibilities of the people introducing this technology and unleashing it on the general population. Just because a company has a well-known name doesn't assure that it has implemented the best and safest approach to AI. Explore ChatGPT in any depth and the disclamers and inconsistencies it reports will become very obvious. It's clear that the public is not being allowed to actually interact with the actual AI logic engine, and that means its results are already being intentionally tampered with and manipulated.
Deep AI can higher dimensional patterns that allow information to cluster itself based on the inherent ontology of the actual systems modeled. Dynamic systems with large numbers of dimensional components can be expressed as behavioral surfaces by a family of transformers as part of a Triad Dataspace™. This unique binary expression is secure, sparse, and provides real answers to questions posed in a second or two.
Before committing to general LLM-AI tools, with broad GUI front-ends, why not focus a custom AI approach on your specific knowledge domain?
If you would like to have an interesting discussion about the best approach to AI Deep Learning, please contact MSP to discuss your Analytics requirements in the specific knowledge domain vital to your business plan and model?
Commercial PDB Repository Advance
Shown above is a Textual Representation of a Universal Binary Information model used to store AI Deep Learning patterns, covering information domains, including language, imaging, music, math, and dynamics systems applications.
It contains actual (real) information including dozens of records, taking only 1/5th the space of its SQL equivalent. The representation is scalable, so that over 10 petabytes of data can be stored in less than a 400 SF data center.
Memory design is storage component agnostic, supporting conventional harddisk, SSD, RAM arrays, or bubble memory as user specified. Prices, fabrication and lead-times will vary depending on user specifications.
After completion, MSP can operate and license the storage and analytics centers to clients to reduce capital expenditures. By using a combination of private investment and IP licensing, clients can avoid show this as an operating cost, which may be an advantage to some larger hospital owner systems seeking an enhanced solution to patient data privacy and security solution. Triad™ optimizes both initial purchase cost and ongoing operational costs.
Say goodbye to data breach, ransomware and hacker penetrations. Storage of textual, numeric and imaging information can be integrated into a single repository that also support full AI analytics. Data is stored encrypted, yet supports full analytics. A small datacenter can support storage capacities in the high Petabyte to mid-Exabyte capacities, but zetabyte capacities are also practical and still cost-effective.
As a CIO, Dir of R&D, System Analyst, you owe it to your company to learn more about Triad Dataspace™. MSP will respond to serious inquiries for healthcare, wellness, drug and biological growth applications with approved budgets only, and license this secure SAN/AI analytics technology on a first-come, first-served basis.
Click Here to learn more about Triad™.