Category Archives: llm

AI based Population studies, current decline in population

NOTE: This article is present on — (PDF) Population studies, current decline in population (researchgate.net) and on authors key social media account as well, its DOI: 10.13140/RG.2.2.33983.11684 Analysis here~~~ Many questions arise, in this regards, So is this temporary local minima in population of each region.. What are past local optimas in population studies then Sir How pastContinue reading “AI based Population studies, current decline in population”

AI-based Governance, supervised, semi-supervised to fully supervised- Part I

#ai #governance #artificialintelligence #robotics Which leader to trust, Which part to vote, How to decide the fundings in a better way, How to satisfy all demands of people, How to allocate jobs, How to arrange for food, at subsidized rates, How to manage crowd going against things, French Revolution was just the beginning, Why shouldContinue reading “AI-based Governance, supervised, semi-supervised to fully supervised- Part I”

Uncertainty measures for Decision Making (unsupervised and semisupervised)

I proposed Rough Set based uncertainty measures (span) (Yadav, 2021) for various decision systems in my post-Ph.D. work, which is an impressive contribution to the field. This research work can improve decision-making processes and enhance the reliability of decision systems. The model developed uncertainty measures for unsupervised multi-category decisions for structured and unstructured data. TheContinue reading “Uncertainty measures for Decision Making (unsupervised and semisupervised)”

Ethical and Responsible AI and Robotics for Children

Hi All, Hope you are doing well. Sharing with you pre-print of my paper submitted to a journal. The broad area of the paper is on AI Ethics. ABSTRACT Objective: AI ethics matter more for lesser bias, lesser wrong and fake information, and more fairness. But when it comes to children, the definition of AIContinue reading “Ethical and Responsible AI and Robotics for Children”

Chatbot Response Categorization-Multi Category Tags

#ai #artificialintelligence Note: This is authors own article which in the original is present on DOI:10.13140/RG.2.2.13103.14247. It is presented here to grow the audience. Abstract-Chatbots or any other kind of bots produce outputs that at times are not what is required out of the bot. In such situations, bot output categorization is required. The botContinue reading “Chatbot Response Categorization-Multi Category Tags”

Client-Side Language Model Interacting with Server-Side LLM

Note: This article is present in on authors DOI:10.13140/RG.2.2.32564.05768 Generative Pre-trained Transformers (GPT) are neural networks with specific transformer architecture to perform various kinds of applications here we are concerned with language modeling. We all are familiar with Large Language Models based on GPT architecture. This is based on the Encoder Decoder principle, several outputsContinue reading “Client-Side Language Model Interacting with Server-Side LLM”

User-side Query Expansion for Efficient Chatbots with or without Feedback

Note: This article in copy is also present on authors other social media accounts as well. When a query is put on a chatbot be it be chatGPT, copilot, or any other chatbot, the response is based on what query is being asked. Now chatGPT has proposed to use clever AI (see reference [1] below)Continue reading “User-side Query Expansion for Efficient Chatbots with or without Feedback”

Yesterday Copilot massive Bot Supremacy Claim and the ChatGPT Bug!

Here in this article, you can know by example how such texts are produced and their solutions, how to avoid it in the future. Problem Explained and fixes needed in bots. The chatbots can be changing the modes of operation from — poetic to fictional to Shakespeare humor to even threat mode, maybe yesterday’s copilot breakdownContinue reading “Yesterday Copilot massive Bot Supremacy Claim and the ChatGPT Bug!”

What Next RAG (Retrieval Augmented Generation) and LLM.

Note: The article in duplicate is present on authors other social media accounts as well. Let us first consider the open internet case, wherein the internet can be used to improve the results of an LLM. Now, there are cases when the LLM was trained and in this time some new information has been collected.Continue reading “What Next RAG (Retrieval Augmented Generation) and LLM.”