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 badContinue reading “The Good AI and the Bad AI — Part I”

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 conceptsContinue reading “Causal Reasoning and LLM Paper Review”

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 oneContinue reading “80000 tested GPT but where are the test cases? Testing not enough, use test cases to train new GPT and automate testing”

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 andContinue reading “Genetic Algorithm for Information Retrieval (Python): Introduction”

BLOOM: Language Model — Research Paper Review

Key Important Points are given here of the biggest open-source Language Model till now- BLOOM 1) A 176B-Parameter Open-Access Multilingual Language Model. 2) Aim is public release of Large Language Model 3) Pretrained models are popular since they provide better results from small labelled data. 4) No prior LLM was publicly released making BLOOM theContinue reading “BLOOM: Language Model — Research Paper Review”

1-3 Information Retrieval Paper Reviews- Key Points

Sentiment-oriented information retrieval (Bisio et al) (2016) A new fuzzy logic based ranking function for efficient information retrieval system (Gupta et al) (2015) An enhanced multi-view fuzzy information retrieval model based on linguistics (Attia et al) (2014) References

Sentiment-Oriented Retrieval on Climate Textual Data

#AI, #ArtificialIntelligence #NLP Sentiment oriented Retrieval/ Opinionated Retrievals In this article we apply the skills of sentiment analysis on the climate corpus we collected sometime back. Question: Why do we need to do this? Answer: Once we get documents and text fragments with high positive sentiment and high negative sentiment scores, we get a kindContinue reading “Sentiment-Oriented Retrieval on Climate Textual Data”

Sentiment Analysis with SentiWordNet- Part II

#AI, #ArtificialIntelligence #NLP This article is an application of sentiwordnet lexical database. In last article I provided with the code to access the sentiment, here are some more details on sentiwordnet with examples. Sentiwordnet is a nice database for looking up to sentiment of a word given its POS tag. So you can look upContinue reading “Sentiment Analysis with SentiWordNet- Part II”

Sentiment Analysis with Python- SentiWordNet

Here is a code for sentiment analysis explained with sentiwordnet. The code is here for determining the sentiment analysis of a sentence. I have used this on the climate dataset with me. And found the most positive sentiment-oriented documents and most negatively oriented documents, also the most lengthy documents too. Here is a simple codeContinue reading “Sentiment Analysis with Python- SentiWordNet”

Word2vec and the distance between words based on it

This is a short article to show how the distance between words can be computed using word2vec. I often follow deep theoretical and large practical articles with small articles covering basics. Even basics are important and hence here today is a small article on how to compute the distance between words with help of word2vec.Continue reading “Word2vec and the distance between words based on it”