Category Archives: nlp

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”

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”

Can humans replace Robots in jobs? 

DOI: 10.13140/RG.2.2.11258.56008 Note: This is a duplicate copy. The original is on authors webpage.            Abstract – In today’s world, there are many robotic endeavours, some focused on intelligence and others on personal robotics. Let’s call the intelligent robot with an AI brain an AI robot, while other robots are calledContinue reading “Can humans replace Robots in jobs? “

When Mankind has reached a cliff, the edge of the world. Then AI came.

We are all facing struggles; you may be struggling more than I in some cases. There are some reasons you may find out in the time to come. We all face challenges, not just with job satisfaction, due to advancements in AI. In times to come, you may feel AI will heartlessly take away yourContinue reading “When Mankind has reached a cliff, the edge of the world. Then AI came.”

Mars- can humans live there- No but Modified Metaverse can help bots develop Mars

— Humans can’t live on Mars. — All you can send there are robots, bots, and drones. — What more is needed? —Modified Metaverse , a metaverse subclass with which we can build permanent concrete on Mars, we can dig wells and more. People sitting on Earth and drilling water from Mars. Meta, any comments?Continue reading “Mars- can humans live there- No but Modified Metaverse can help bots develop Mars”

AI is the Future. How to Correct the Wrong Outputs from LLM

AI was once a part of Computer Science, but is now a field that includes branches such as computer science, statistics, cognitive science, and mathematics. We can’t look too deeply now to prove it as a correct algorithm, but one day we will be able to do so. However, it is not yet fully correct.Continue reading “AI is the Future. How to Correct the Wrong Outputs from LLM”

AI Chatbots Conversations Privacy — What It Means for Government, Organizations, and People

Note: The author does not know how many government or private company employees’ chats were exposed, it is future that we must secure ourself from. This incident may have caused more harm if it had exposed the organization’s work data, and the remedies are discussed here. Recently, 300 chats from Grok users have been leakedContinue reading “AI Chatbots Conversations Privacy — What It Means for Government, Organizations, and People”

Universal AI Profile (AI Document Architecture)

The Universal AI profile is a user-specific profile that helps the AI understand the user and their preferences across devices, apps and browsers. This allows the user to switch between AI apps simply by granting access to stored secure data in the AI Profile. Option to update each access to AI is logged in. AsContinue reading “Universal AI Profile (AI Document Architecture)”

Using Predicate Logic and LLM to prove Theorems, how far can we do it? How much is correct?

Lets start with the statement, “The kernel of the group homomorphism is a normal subgroup.” Lets try to use chatGPT to prove it? Here is the first prompt where I tried Prolog first before the theoretical proof of Predicate Logic on which Prolog is based. “Using prolog prove subgroup of an abelian group is abelian”Continue reading “Using Predicate Logic and LLM to prove Theorems, how far can we do it? How much is correct?”

Smart Future Systems, Smart Kitchen, Smart Bathrooms,…

Hi All, Let me provide examples of truly intelligent systems that use AI or are algorithmic. Let’s start with a smart dustbin that can see what is being put into it and direct the waste to other bins, perhaps from yellow to green to red. What a progression! It would use AI and authenticate theContinue reading “Smart Future Systems, Smart Kitchen, Smart Bathrooms,…”