The Good AI and the Bad AI — Part I
Here is a description of what constitutes a Good AI and what forms part of the Bad AI. There has been tremendous progress in AI, irrespective of the fact that it is a good AI or it is a potentially harmful AI. Let us discuss what is in good AI and what is in bad…
Causal Reasoning and LLM Paper Review
The following paper is discussed in this article. Causal Reasoning and Large Language Models: Opening a New Frontier for Causality. Kıcıman and Ness et al. (2023) Paper Review Causality — The automatic detection relationship between cause and effect. For illustration, consider two concepts that are discussed in some text, say medical text. Let the concepts…
Python based Particle Swarm Optimization for a function optimization
Here is a quick introduction to Particle Swarm Intelligence based optimization and its implementation in Python. As the name states, Particle Swarm Optimization (PSO) is an optimization algorithm based on the intelligence of swarm learning. Swarms of birds, ducks, and insects often follow a pattern to achieve their activities. PSO have many application. Lets start…
Optimizing a function with Genetic Algorithm in Python
Function Optimization means how to find the maximum and/or minimum of the function in a given domain. The aim is to find the optimal value viz. maximum or minimum value of a function. To explain the process in Python we take an example of the Rastrigin function. Let us understand what this function means first.…
Are the AI leaders pessimist or optimists about AI Future
#AI Note: The article in original is on authors website nidhikayadav.com The current AI leaders of top companies running AI seem to be pessimistic about AI development. AI is like a baby in youth now, it would do mistakes, for sure, the concern is the tolerance and the mother-like warmth it needs to grow into…
GPT can be understood as composition of functions or just as a Black Box?
Here are some points Many people say they can’t understand a GPT model. Well then consider it as a black box, which gives answers. Even the black box here can be understood if given time and resources to understand. The aim to understand it is the fact that the inputs are all predefined text articles…
80000 tested GPT but where are the test cases? Testing not enough, use test cases to train new GPT and automate testing
In an article it was relieved that 80000 Google Employees tested its GPT, which still makes errors in outputs. Now there are some key points. These points can be used on any GPT testing, not necessarily of capacity of 80000. When someone makes testing which is so huge, 80000 is a huge number, then one…
Let’s find solutions with Sentiment Analysis; not just criticize AI chatbots
There are articles after articles, claiming that AI is anti-woke, says lies, and makes its own fake stories. Well, that is good to point out what are the exact mistakes AI can make. As till we know what the bug is how can it be corrected it ? These things need to be corrected. Think…
Decision Making Using Rough Set based Spanning Sets for Decision System
Abstract: Rough Set based concepts of Span and Spanning Sets were recently proposed to deal with uncertainties in data. Here, this paper, presents novel concepts for generic decision-making process using Rough Set based span for a decision table. Majority of problems in Artificial Intelligence deal with decision making. This paper provides real life applications of…
Genetic Algorithm for Information Retrieval (Python): Introduction
Genetic Algorithm (GA) Genetic Algorithm is one of the nature inspired algorithm which works on Darwins theory of survival of fittest. The key operators that we have in Genetic Algorithms are These three operators also forms the basis reproduction and subsequent workings in natural process be it be in human biology or in botony and…
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Artificial Intelligence, Computer Science & Mathematics 