Artificial Intelligence (AI) - Data-Nizant

AI, ML & Data Science

Building Ethical AI: Lessons from Recent Missteps and How to Prevent Future Risks

November 9, 2024 - By Kinshuk Dutta

As our use of AI evolves, so do the challenges. The recent reports by Stanford University’s Human-Centered Artificial Intelligence Institute and Our World in Data has claimed that the annual number of reported artificial intelligence (AI) incidents and controversies has seen a significant increase over the past decade. According to data from Our World in Data, there were 3 reported incidents in 2012, which escalated to 78 incidents in 2023. This represents a 26-fold increase over this period. Even IBM Institute for Business Value quoted Executives ranking AI ethics as important jumped from less than 50% in 2018 to nearly…

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AI, ML & Data Science

Generative AI: The $4 Billion Leap Forward and Beyond

November 8, 2024 - By Kinshuk Dutta

Introduction: What Is Generative AI? 📌 Icon Insight: Generative AI is a transformative technology that creates content from scratch, including text, images, and code. Generative AI is redefining innovation across industries. Unlike traditional AI systems that recognize patterns or make predictions, generative AI is capable of producing entirely new content. This makes it a key driver in fields like content creation, healthcare, finance, and customer engagement. 🔍 Key Takeaway: Generative AI expands the boundaries of creativity, enabling machines to co-create with humans. Key Investment: Amazon’s $4 Billion Bet on Anthropic 💰 Amazon recently invested $4 billion in Anthropic, a company…

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Analytics & Reporting - iPaaS - Big Data - AI, ML & Data Science

Big Data in 2024: From Hype to AI Powerhouse—What’s the Real Story?

October 31, 2024 - By Kinshuk Dutta

Introduction: A Decade of Big Data Blogging When I began writing about Big Data in 2013, it was an exciting new frontier in data management and analytics. My first blog, What’s So BIG About Big Data, introduced the core pillars of Big Data—the “4 Vs”: Volume, Velocity, Variety, and Veracity. As the years passed, I expanded into related topics with posts like Introduction to Hadoop, Hive, and HBase, Data Fabric and Data Mesh, and Introduction to Data Science with R & Python. Each blog marked the evolution of Big Data and reflected the shifting focus in the field as data…

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Analytics & Reporting - Big Data - AI, ML & Data Science

Demystifying the World of AI, ML, and Data Science: A New Structured Learning Journey

October 25, 2024 - By Kinshuk Dutta

Welcome to an exciting new chapter in exploring the world of AI, Machine Learning (ML), and Data Science! Over the years, I have posted on a variety of topics, covering everything from Python basics to the intricacies of neural networks. But now, it’s time for something bigger—a cohesive, structured series that will demystify these domains, guiding you step-by-step from foundational concepts to advanced applications. In this revamped series, I will reorganize my previously published blogs, presenting them in a logical progression so you can easily follow along, regardless of your current experience level. Alongside these, I’ll also introduce new posts…

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AI, ML & Data Science

Unlocking Large Language Models: The Game-Changing Powerhouse of Modern NLP

February 25, 2024 - By Kinshuk Dutta

Introduction Large Language Models (LLMs) are revolutionizing Natural Language Processing (NLP), enabling machines to generate and interpret human language with unprecedented accuracy and creativity. But what are LLMs, and how do they differ from traditional NLP? This blog will guide you through the essentials of NLP and LLMs, explain why LLMs are gaining popularity, and even show you how to create a simple, data-driven AI tool on your Mac. Whether you’re a tech enthusiast or an AI professional, this guide will help you understand and leverage the transformative power of LLMs. 1. What is NLP, and Why is it Used?…

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AI, ML & Data Science

Data Science vs. Artificial Intelligence & Machine Learning: What’s the Difference?

April 25, 2023 - By Kinshuk Dutta

In today’s rapidly evolving technological landscape, it’s common to hear the terms Data Science, Artificial Intelligence (AI), and Machine Learning (ML) used interchangeably. However, while these fields are interconnected, they serve different functions and demand distinct skill sets. Understanding the unique roles of each helps clarify how they work together and why they are all crucial in today’s data-driven world. What Is Artificial Intelligence and How Does It Connect to Data Science? Artificial Intelligence is a branch of computer science focused on building systems that can mimic human intelligence, allowing them to perform tasks like decision-making and problem-solving. AI-equipped systems…

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AI, ML & Data Science - Artificial Intelligence (AI) - Academic Use - Acharjo - Generative AI Fundamentals

A Deep Dive Into the Inner Workings of Large Language Models: 🧠 Transformer Architecture Explained: The Brain Behind LLMs

December 6, 2022 - By Kinshuk Dutta

🔍 Introduction: Beyond Thought Simulation In our previous blog on Thought Generation in AI and NLP, we explored how modern AI systems can simulate reasoning, explanation, and creativity. At the heart of this capability lies a game-changing innovation in deep learning: the Transformer architecture. Originally introduced in the groundbreaking paper Attention is All You Need by Vaswani et al. in 2017, transformers have become the standard building block for nearly every large language model (LLM)—including GPT, BERT, PaLM, and Claude. This blog takes a hardcore technical deep dive into the full transformer architecture diagram you see above. Whether you’re a…

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Artificial Intelligence (AI) - Academic Use - Acharjo - Generative AI Fundamentals - AI, ML & Data Science

How ChatGPT and Large Language Models Simulate Thinking: 🧠 Thought Generation in AI and NLP

November 30, 2022 - By Kinshuk Dutta

The Moment the World Realized AI Could “Think” It’s just before midnight on November 30, 2022, and something extraordinary is unfolding. ChatGPT was released to the public earlier today, and like many across the world, I’ve spent hours interacting with it—testing its reasoning, pushing its boundaries, and watching it respond with an uncanny sense of logic, memory, and conversational flow. This very day made something abundantly clear: Machines can now simulate thought—with startling fluency. If you’ve followed my earlier explorations on AI vs ML vs DL or Tokenization in NLP, you’ve seen how machines learn and process language. But today’s…

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Acharjo - Generative AI Fundamentals - AI, ML & Data Science

Exploring How Large Language Models Are Transforming Natural Language Processing: 🧠 Understanding the Correlation Between NLP and LLMs

February 15, 2020 - By Kinshuk Dutta

Introduction Natural Language Processing (NLP) is a field of artificial intelligence that focuses on the interaction between computers and human language. In recent years, a significant advancement in NLP has been the development of Large Language Models (LLMs), which have dramatically improved the ability of machines to understand and generate human-like text. This blog aims to provide a foundational understanding of NLP and LLMs, their interconnection, and the transformative impact they have on various applications. What Is Natural Language Processing (NLP)? NLP is a subfield of AI that enables machines to read, interpret, and generate human language. It encompasses a…

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Machine Learning - Time Series & Forecasting

ARIMA in Python: A Complete Guide to Time Series Forecasting with Code Examples: Master ARIMA in Python: Proven Forecasting Strategies

February 18, 2016 - By Kinshuk Dutta

Learn ARIMA in Python with expert tips on implementation, tuning, and real-world forecasting challenges. Boost your skills today!

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