Intelligent learner

Transformer architecture While having a chat with one acquaintance over WhatsApp, I realised that there is a natural human tendency to use the biggest or the most complex or the most recent things wherever possible. I think using GPT-3 anywhere and everywhere falls within this tendency to go overboard. For those of you, who do not know what GPT-3 is, it is a transformer-based architecture (Generative Pre-trained Transformer). Transformer architectures have gotten a lot of traction lately due to its’ performance in natural language tasks (Like Generating texts based on contexts- writing poems, stories, tweets, or any generic NLP tasks like translation, summarization, question answering etc.). There are different transformer architectures suited for different tasks. In the last few years, few groups are trying to build and train bigger transformer architecture (not necessarily better). GPT 3 is a result of such efforts. I am not at all saying that GPT 3 is not great. It is. Anyone who is...

For the last few years, interests in cryptocurrency and blockchain related topics have skyrocketed. Active investors, traders have increased by manyfold. People and to some extents Governments have mixed reaction on this. Some have accepted this change whereas some are doubtful. El Salvador became the first country to accept Bitcoin as a legal tender and also plans to create “crypto-city”. On the other hand, China has taken steps to clamp down crypto-mining and crypto assets as a whole.   I am an ardent fan of new technologies and as such I adore Blockchain for what it can offer. People sometimes forget but cryptocurrencies are just one of the applications made possible by Blockchain technology. But the current debates and discussions are not on Blockchain, rather on private cryptocurrencies. Here are few of my points on this matter, as per my limited knowledge (anyone may choose to disagree)- What are the cons/ worries associated with cryptocurrencies? One valid point is the...

Intro Data Science and AI might sound like the coolest thing that there is right now. Whether you are a fresher trying to learn these skills or a seasoned businessman who want to implement AI in your workflow, you might have heard these terms thousands of times. But do you understand them properly? Do you understand the differences? Because they are some of the most basic concepts underlying. In this article, I’ll be hopefully able to answer the above questions. Definitions Let me start with saying, I am not a big fan of definitions. That is, I do not think anyone should ever try to memorize formal words describing or defining something rather than actually understanding it. So rather than giving formal definition, let’s see whether I can help you in understanding the concepts. Data Science literally means science that involves Data. Anything that you do with Data, comes under the umbrella of ‘Data Science’. And what is Data? Data is basically recorded information. We usually d...