Tag Archives: Machine Learning

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 articlesContinue reading “GPT can be understood as composition of functions or just as a Black Box?”

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”

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. ThinkContinue reading “Let’s find solutions with Sentiment Analysis; not just criticize AI chatbots”

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”

Would Elon Musk call back its AI powered cars too?

They say AI is going at a high rate, stop it for 6 months. Yes, speed is an issue, but it can be for good. Why don’t release products after testing, why stopping it for 6 months? Elon Musk among experts urging a halt to AI training — BBC News. Elon Musk is among thoseContinue reading “Would Elon Musk call back its AI powered cars too?”

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”

chatGPT should provide References or Bibliography

ChatGPT may be very good at answering several questions and even good at chatting on textual topics but when chats/answers are provided from chatGPT, it needs to give references too. References are essential first, on the count that the answer or the reply is based on certain knowledge and this knowledge needs to be mentioned.Continue reading “chatGPT should provide References or Bibliography”

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”