In the ever-evolving landscape of customer service, the advent of Generative AI represents a transformative leap forward. Traditional chatbots, while effective, have often been limited by their pre-programmed responses and inability to handle complex, nuanced interactions. Generative AI is poised to overcome these limitations, heralding a new era in customer service excellence.

Large Language Models (LLMs) have become an integral part of modern artificial intelligence, powering applications ranging from natural language understanding to content generation. Leading cloud service providers, namely Microsoft Azure, Google Cloud Platform (GCP), and Amazon Web Services (AWS), offer robust LLM solutions with distinct features and capabilities. Here’s a comparative analysis of these top LLMs.

In recent years, the evolution of Artificial Intelligence (AI) has branched into various specialised fields, with Traditional AI and Generative AI being two of the most significant. Understanding the differences between these two can shed light on their respective applications and potential in various sectors.

In the rapidly evolving financial sector, the integration of Generative AI is proving to be a game-changer, particularly in the areas of fraud prevention and anti-money laundering (AML). These advanced technologies are enhancing the capabilities of financial institutions to safeguard their operations and protect their customers.

In recent years, Generative AI and Large Language Models (LLMs) have taken the tech world by storm, and the financial sector is no exception. These advanced technologies are transforming how financial institutions operate, offering new opportunities for efficiency, security, and customer service.

Python applications needs lot of package and libraries that most of the time are not included when installed from scratch. Sometimes, it is needed to include specific version library to work with, and most of the time the newest libraries come with bugs or doesn’t have full integration with the new environment.

Nowadays, it is very important to know how to model data and create visualizations. For that reason, I recommend Qlik Sense and Tableau. There are other important tools that could help you in the data visualization modeling such as Power Bi. Moreover, this is the new abiiliity that you must learn.

This is my first try using the Github platform with Markdowns files. Moreover, in this website, I will try to share interesting stuff as well as some code in python.\