Understanding and Developing Data Strategy and Monetization
A data strategy is a plan that outlines how an organization will collect, store, manage, and use its data. It is important because it can help organizations to improve decision-making,…
Combating AI Fear
Fear of AI is a type of technophobia, which is a fear of computers, AI, robots, and similar technologies. AI has been the subject of much discussion and debate in…
Understanding Large Language Models: Applications, Architecture and Challenges
What are the Large Language Models ? An LLM, or Large Language Model, is a type of artificial intelligence (AI) algorithm that uses deep learning techniques and massively large datasets…
Understanding Artificial General Intelligence: Key Elements, Advancements, and Challenges
Introduction Artificial General Intelligence (AGI) refers to a hypothetical form of artificial intelligence that would be capable of performing any intellectual task that a human can do. Unlike current AI…
Artificial Neural Networks
Big Data
Deep Neural Networks
Large Language Models(LLM)
Natural Language Processing
Tracking Recent LLM Model Announcements
Large Language Models have taken world by storm, open access to LLMs is needed by the humanity in order to take full advantage of these for development of cutting edge…
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Tracking Advancements in Large Language Models(LLMs)
An LLM is a type of neural network based on the Transformer architecture, which was first introduced in a 2017 paper by Google engineers titled “Attention is All You Need.”…
The Quest for AGI: Approaches and Benchmarks for Next-Level Artificial Intelligence
Achieving Artificial General Intelligence (AGI) is a complex and challenging task that requires significant advancements in several fields of research, including machine learning, computer science, neuroscience, psychology, and philosophy.
Exploring the Evolution of GPT: A Comparative Analysis of GPT-4, GPT-3, ChatGPT and Beyond
Introduction It is important to understand the difference between ChatGPT, ChatGPT Plus and GPT-3 because they use different variants of the same underlying language model, GPT (Generative Pre-trained Transformer). While…
Learning from Use of Chatbots in Banking Sector – Everything You Need to Know
Chatbots are increasingly being developed and are highly successful in the financial domain, especially banking, insurance, and e-commerce sector.
Key Concepts for Designing and Developing Chatbots
Chatbot are growing importance since they enable an easy interactive interface between humans and computers leading to countless business and social use cases. It is an active research area and…
What is the Difference between Data Warehouse and a Data Lake ?
Data Lakes are the foundation for building AI driven solutions that many organizations need. There is much more information in audios, videos, images and social media chatter that can drive…
Setting Up PostGIS Extension On Greenplum 6 In Ubuntu 18.04
This tutorial will cover how to install PostGIS on Ubuntu 18.04 Linux for Greenplum 6 clustered setup. PostGIS is an open source PostgreSQL database extension for creating Geographic objects on…
Learning Python Anaconda | World’s Most Popular Data Science Platform
Anaconda distribution of Python is the best option for problem solvers who want to use Python. Anaconda is free (although the download is large which can take time) and can…
Exploratory Data Analysis and Visualization Using Python
This article focuses on developing understanding and hands-on skills for carrying out exploratory data analysis over any given dataset.
Learning Essential Skills for being Successful on a Data Analysis Career Roadmap
Introduction To be successful as data analysts you need to learn fundamental data analysis techniques, and data-oriented programming languages, and have a strong background in math. Here are the most…
Business Use Cases for AI and Data Science
Industry Business Use Case Marketing and Sales 1). Increasing Sales Using Market Basket Analysis 2). Understanding Customer Sentiments 3). Personalized Content Recommendation 4). Customer Segmentation 5). Fraud Analysis and Prediction…
What are Feature Engineering Techniques for Machine Learning Projects?
What is Feature Engineering ? Feature engineering is an important step in the data science pipeline. One of the most important questions facing data scientists is how to choose which…
Interesting Story for Understanding the Art of Data Analysis
We often hear that data analysts and data scientists should be proficient at listening to data and the art of storytelling with data, but what does that mean? We can…