A robot’s identity card can display its name. This can be used to register the robots as authentic. If a robot from one country is imported into another, it should comply with the new country’s rules and regulations. We must have universal identification for robots in a country. Why do we need identity cards forContinue reading “Passport and ID Card of Named Robots- The full name and the Surname of Robots and AI models #future #futurist #ai”
Category Archives: chatgpt
Certifications for robots or models! Artificial Specialized Intelligence! Why one model fits all?
We live in an era where robotics is taking over many jobs, or, more simply, robotics automation is advancing rapidly. The rate is faster than any construction company could even imagine. What are we constructing? Manufacturing? Or producing? Robots? If so, what are the features of the robots? What kind of features would you wantContinue reading “Certifications for robots or models! Artificial Specialized Intelligence! Why one model fits all?”
We need constraints in Generative AI Models Now
Enough of unconstrained generative AI outputs. It often leads to wrong or harmful outputs. How to make LLM safe? Time for constraints in models. How can constraints help? — — No unintended outputs — — By controlling models, we control the right outputs — — The regularization of gen AI can be done by governmentsContinue reading “We need constraints in Generative AI Models Now”
Unconstrained LLMs, How Long? Safe, secure, and trusted constraint-based LLMs
Note: This is a duplicate copy of original fine with DOI:10.13140/RG.2.2.15511.02722. The pdf can be accessed at, (PDF) Unconstrained LLMs, How Long? Safe, secure, and trusted constraint-based LLMs Abstract: Most LLMs are unconstrained optimization problems (UMP). The problems of hallucinations and dangerous images and texts produced by LLMs persist. How can this problem be solved? WhyContinue reading “Unconstrained LLMs, How Long? Safe, secure, and trusted constraint-based LLMs”
Nested Learning: Part II
#ai #llm #deeplearning #ml Here is the video lecture, subscribe for updates, https://www.youtube.com/watch?v=qDwAm1f0JBY Some concerns, it catches the forgetting behavior of LLMs, the context once gone can be looked into nested memories and hence can be revised if nested parameters and memories are referenced. The pre training can’t be edited but the computation of temporaryContinue reading “Nested Learning: Part II”
Predicting the Insulin dose Intelligently for perusal by humans- Missing Part-Upload Meal Image for Calories!
#ai #health Note: This method may have some fuzziness assigned to it, but it’s still not foolproof and needs to be validated. Therefore, it’s not fully reliable. Always seek an opinion on your insulin dose before taking it, or stay within a safe dosage range. Some of the past works in this area use: ThereContinue reading “Predicting the Insulin dose Intelligently for perusal by humans- Missing Part-Upload Meal Image for Calories!”
RAG Engineering-based Query Specific Summarization
Here, I present the idea behind Query-Specific Summarization and RAG, and how it can be implemented. Use case. And how to test it. Retrieval Augmented Generation is very well used in organizations with their own data. Many organizations have their own data that they do not want to upload to generic servers where a genericContinue reading “RAG Engineering-based Query Specific Summarization”
OpenAI to acquire model training firm Neptune
It also acquired Statsig, Software Applications Incorporated, and Jony Ive’s AI devices startup in the past months. What Neptune does! What is special about Neptune? OpenAI uses Neptune already. With a record of 30,000 projects tracked, Neptune is trusted by 60,000 researchers and 1500 commercial teams. It started in 2017 with Deepsense.ai, and came outContinue reading “OpenAI to acquire model training firm Neptune”
Harmonics Proves a Tough Mathematics Problem. Should we name AI as a contributor or a Co-author in research works?
#ai #mathematics Erdős Problem #124OPEN This is open, and cannot be resolved with a finite computation. http://www.erdosproblems.com Paul Erdős proposed numerous open problems. Erdős Problem #124OPEN This is open, and cannot be resolved with a finite computation., http://www.erdosproblems.com Aristotle by Harmonic verified with Lean proved the above Erdos problem, known as problem number 124. HarmonicContinue reading “Harmonics Proves a Tough Mathematics Problem. Should we name AI as a contributor or a Co-author in research works?”
Intelligent Climate Simulations and Protections #AI #COP30 #future #climate
In my previous article, I wrote about COP30, goals, solutions, and methodologies. Today, I discuss how we can preserve our dear planet, Earth, where we live! Climate change is affecting lives, farming, causing droughts, bringing cyclones, hurricanes, and storms, and causing snow melt in glaciers. If this is not enough, air quality is declining, andContinue reading “Intelligent Climate Simulations and Protections #AI #COP30 #future #climate”
Artificial Intelligence, Computer Science & Mathematics 