Greetings of the day everyone. How are you doing? Let’s discuss this news which is a hot topic of discussion around the internet. The following image is taken from LinkedIn to understand the impact GPT-5 can have, if this is really true! Some point here: —Yes right, but I think what is this GPT-5 claimContinue reading “GPT-5 and its PhD level Intelligence Explained and Questioned”
Category Archives: data science
Fuzzy Rough Set Techniques for Extractive Text Summarization
Hi All, Hope you are doing well! I am on a journey to Australia so it takes me time to post technical articles these days. Today in this article I describe one of my own research paper in layman language with the title “Fuzzy Rough Set Techniques for Extractive Text Summarization”. This was published inContinue reading “Fuzzy Rough Set Techniques for Extractive Text Summarization”
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”
Re-ranking of documents in the Information Retrieval Task with Unsupervised Query Expansion
Note: The article in the duplicate is present on the author’s other social media accounts as well. In this article, we shall cover the steps to perform un-supervised query expansion and how to use it to re-rank documents in the task of Information Retrieval. Most of the points are taken from the research paper byContinue reading “Re-ranking of documents in the Information Retrieval Task with Unsupervised Query Expansion”
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!”
AI based Analysis of Data of Employments and Jobs on Global Job Register
Time to run Hackathons on Job and Employment Data There are news that AI would take away jobs very fast as was predicted by Economics leaders during the time of Davas meeting. Recently, yesterday Google parent company Alphabet made many job cuts. So, can people use such an app, where they can analyze on thereContinue reading “AI based Analysis of Data of Employments and Jobs on Global Job Register”
Move the steering of AI in the direction needed! In the Year 2024!
Yes, this is another new year. I am sorry for the late New Year wishes, but here they are Have a Wonderful and Prosperous New Year, 2024. To all the ai/tech-inclined people out here. Summary: So decide, plan, and then implement the directions where you want to run the ship of AI applications and Energies in AIContinue reading “Move the steering of AI in the direction needed! In the Year 2024!”
Data and Information as Input to ML/DL/LLM Models
Note: The article is present on author’s other social media accounts as well. Abstract Here is a summary of the some ways which may effect the results in ML/DL/LLM to the betterment. We always want the results to improve, in this quest comes the use of information. Yes, one way is to find new networkContinue reading “Data and Information as Input to ML/DL/LLM Models”
Deep Network-based Automated Theorem Prover
This is a review of the paper — “Deep network guided proof search”. arXiv preprint arXiv:1701.06972, as given in reference [1]. — Automated first-order theorem provers (ATP) can be used to prove mathematical theorems and these can also be used in applications such as program analysis, theory exploration, and reasoning. — Higher-order logic, Naive Bayes,Continue reading “Deep Network-based Automated Theorem Prover”
Artificial Intelligence, Computer Science & Mathematics 