How seamless is running a LLM-generated code? These days, everyone and their grandparents are talking about AI taking over human jobs. You cannot scroll through social media without seeing some CEO of a global conglomerate talking about how by 202x traditional programming jobs will be eaten up by AI agents. A new concept called Vibe […]
In this post, we will go over Vibe Coding and by the time we are done, we hope you will have a clear idea if Vibe Coding is right for your project. So what is Vibe Coding? Andrej Carpathy, one of the co-founders at OpenAI, came up with this phrase in one of his tweets, […]
In this article we will share how Mantrax is using Generative AI (when it makes sense) to improve productivity and deliver projects sooner. While we don’t want our developers to simply “ChatGPT” their way through projects, it is also undeniable that using Generative AI carefully can lead to productivity gains which in turn, deliver projects […]
In this post from our Byte Sized series, we will explore the subtle art of Prompt Engineering that has been gaining a lot of prominence in the realm of AI. The common analogy to describe Prompt Engineering is like teaching a child through asking questions. How effective your Large Language Model’s response is depends on the […]
In the ever-evolving landscape of artificial intelligence, Large Language Models (LLMs) stand out for their unprecedented language mastery, primarily attributed to their large parameter scale. However, LLMs are not without their challenges. This article delves into the intricacies of LLMs, exploring the pain points associated with their deployment and highlighting the role of data, ethical […]
In our ever-evolving technological landscape, the spotlight is on a revolutionary force—Large Language Models (LLMs). These digital wizards are rewriting the script of how we communicate with machines, ushering in a new era of possibilities. Getting to Know Large Language Models Large Language Models (LLMs) go beyond conventional computer programs, evolving into companions with fluency […]
