#futurist #future #scific #ai #artificialintelligence This article presents soon-to-come robots. This is based on current developments in AI and Robotics. All these are possibilities for the future of Robotics, AI, and Tech. The future may not be exactly the same for these Robotics applications but somewhat may revolve around these facts as explained here inContinue reading “The Master Robots: AI and Tech”
Category Archives: AI
Solution to Owning Arts — Traditional Artist versus Digital and AI Artist
Summary: In case artists are working in collaboration, one is a traditional artist and another is digital artist or AI artist, both can collaborate to make the art reach new heights with joint ownership and no tension of copywriting. This is a plausible solution to the future of artwork. This would need a platform whereContinue reading “Solution to Owning Arts — Traditional Artist versus Digital and AI Artist”
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”
80000 tested Google Bard, but what were results? Why it was prematurely released?
#AI #ProjectManagement Google leaders says 80,000 google employees tested Google AI Bard. But then what were results ? What was recall and precision? And if it was bad why was it released to use as a full fledged product? Why warnings are laid out now, that it wont work well? As now you know itContinue reading “80000 tested Google Bard, but what were results? Why it was prematurely released?”
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”
Artificial Intelligence, Computer Science & Mathematics 