Nikhilesh Tayal

Reading Time: 5 minutesGone are the days when it used to take months to build ML/ AI applications. Now, you can make an LLM application in hours if not minutes. There are 3000+ LLMs (at the time of writing this…

Reading Time: 8 minutesLangchain is an open-source development framework for building LLM applications.  As we know, LLM-based applications are built on top of an LLM. However, we need many more things to build LLM applications besides the LLM itself.  Once…

Reading Time: 4 minutesOnce we have created our LLM application (like a YouTube video summariser or Multi-lingual text summariser or anything else), we can deploy it on Hyperscalers like AWS Sagemaker, Google Cloud Platform, Azure Cloud, etc. However, nowadays there…

Reading Time: 6 minutesWe all have used ChatGPT. Some of you may also have used other Large Language Models (LLMs) as well. So, we know that LLMs work in isolation, which means, they do not interact with other software. They…

Reading Time: 7 minutesThe initial ChatGPT could only process a single modality which is text, while the latest GPT4-o is a multimodal model.  By Multimodality, we mean Text, Image, Video and Voice. In this article, we will discuss all these…

Reading Time: 3 minutesHow much computational and memory is required to store the parameters or train a Large Language Model? Even if you do not know the exact answer, you must be aware that it’s huge, right? It is so…

Reading Time: 5 minutesCan you access a database using a Large language model? Before you say “Yes”, read on.  A part of the question is – can LLM write SQL queries? The answer is obviously yes. However, there are 2…