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Pakistan’s IT exports are on the rise and are expected to hit the $3 billion mark in 2024. This rise is mostly favoured by the effective policies of the government as well as the recent deals with the companies. Interestingly, Saudi firms have a big role in this backed by the Kingdom’s Vision 2030. In […]

There is often confusion about the differences between business analysts and data analysts. Both: In reality, however, the two are very different. This article discusses those differences in greater depth, explaining the respective responsibilities, backgrounds, and qualifications expected of each. Do Business Analysts and Data Analysts Have Different Roles? Yes, they do! Business analysts and

By now, you know about all the benefits of SQL and are a seasoned data analyst, data engineer, or data scientist. You know about the different SQL dialects, you’re proficient in importing SQL data, and you’re fluent in writing basic SQL queries. But do you want to grow your skills to the next level? Here’s

Data science is getting bigger, and there are lots of tools to help out. Here are the top 10 tools for data science in 2024.  Moreover, they help with bringing in data, cleaning it up, working with it, analyzing it, making it into pictures, and building models.  Some tools even have everything you need for

DALL-E, an innovative AI model developed by OpenAI, is revolutionizing the way we create images from text descriptions. This cutting-edge technology combines language and visual processing, allowing users to describe an image in words and have DALL-E generate it, even if it’s a concept that doesn’t exist in reality. Imagine being able to describe a

The role of a business intelligence analyst (or developer) is crucial in business analytics, where raw data is transformed into actionable insights. It’s not just about charts or numbers on a spreadsheet; rather, it involves identifying trends, predicting outcomes, and facilitating data-driven decision-making. If you’ve ever thought about becoming a business intelligence analyst, this article

Are you interested in working with cool technology and solving problems? Machine learning might be the perfect fit! It’s all about teaching computers to learn from data and make decisions, and it’s in high demand. The World Economic Forum predicts that jobs in AI and machine learning will jump by 40% from 2023 to 2027.

TLDR Large language models (LLMs) are becoming increasingly common in the field of text processing AI. ChatGPT, powered by OpenAI’s GPT models, is perhaps the most well-known example of an LLM-based tool. However, there are many other chatbots and text generators, such as Google Bard, Anthropic’s Claude, Writesonic, and Jasper, that also rely on LLMs.

Introduction Since the introduction of ChatGPT in 2022, there has been a surge of interest in Generative AI, reshaping our interactions and perceptions of artificial intelligence. Conversational AI tools like ChatGPT and Google Gemini have simplified the process—simply input a few prompts, and the AI model typically provides the requested information accurately. This raises the