Tag Archives: LLMs

What do you want? AI, smart IoT, Robots, mix of it, or all or None? Next Generation?

What do you and the next generation want? AI-based smart devices, IoT-based home maintenance, or do they want robots taking away all tasks and doing it on their own, or they want a mix of these, or you or Next Gen wants it all, or they want just humans, means none of the above? ChoosingContinue reading “What do you want? AI, smart IoT, Robots, mix of it, or all or None? Next Generation?”

Passport and ID Card of Named Robots- The full name and the Surname of Robots and AI models #future #futurist #ai

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”

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”

Memory Learning, Model Titans (Behrouz et al, 2024)

“Titans: Learning to memorize at test time. arXiv preprint arXiv:2501.00663” This paper (Behrouz et al, 2024) [1] aims to build a memory learning model that is efficient, uses less memory, and learns and predicts more. Neural learning is the basis of memory-based learning. Forgetting is important too, and too much forgetting can lose essential data about the input.Continue reading “Memory Learning, Model Titans (Behrouz et al, 2024)”

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”

Can Animals learn from AI? Do we need AI to do it for our pets?

Imagine your pets at home when you are outside in the office? What if you can see them? There are three kinds of learning: supervised, unsupervised, and semi-supervised. AI can teach in any of these modes, if pets are receptive to it. What if an Intelligent Pet AI App on your TV can guide yourContinue reading “Can Animals learn from AI? Do we need AI to do it for our pets?”

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”