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Category: Generative Ai

  • Generative AI, Discriminative Human

    Generative AI, Discriminative Human How to think critically about AI in an ocean of hype The post Generative AI, Discriminative Human appeared first on Towards Data Science. Jason Tamara Widjaja Go to original source

  • What I Am Doing to Stay Relevant as a Senior Analytics Consultant in 2026

    What I Am Doing to Stay Relevant as a Senior Analytics Consultant in 2026 Learn how to work with AI, while strengthening your unique human skills that technology cannot replace The post What I Am Doing to Stay Relevant as a Senior Analytics Consultant in 2026 appeared first on Towards Data Science. Rashi Desai Go…

  • Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI — Clearly Explained

    Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI — Clearly Explained Understanding AI in 2026 — from machine learning to generative models The post Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI — Clearly Explained appeared first on Towards Data Science. Sabrine Bendimerad Go to original source

  • Generative AI Will Redesign Cars, But Not the Way Automakers Think

    Generative AI Will Redesign Cars, But Not the Way Automakers Think Traditional manufacturers are using revolutionary technology for incremental optimization instead of fundamental re-imagination The post Generative AI Will Redesign Cars, But Not the Way Automakers Think appeared first on Towards Data Science. Nishant Arora Go to original source

  • Developing Human Sexuality in the Age of AI

    Developing Human Sexuality in the Age of AI How we learn is changing with generative AI — what does that mean for sex education, consent, and responsibility? The post Developing Human Sexuality in the Age of AI appeared first on Towards Data Science. Stephanie Kirmer Go to original source

  • LLMs Are Randomized Algorithms

    LLMs Are Randomized Algorithms A surprising connection between the newest AI models and a 50-year old academic field The post LLMs Are Randomized Algorithms appeared first on Towards Data Science. Udayan Kanade Go to original source

  • Do You Really Need GraphRAG? A Practitioner’s Guide Beyond the Hype

    Do You Really Need GraphRAG? A Practitioner’s Guide Beyond the Hype A perspective on GraphRAG design best practices, challenges and learnings The post Do You Really Need GraphRAG? A Practitioner’s Guide Beyond the Hype appeared first on Towards Data Science. Partha Sarkar Go to original source

  • Build LLM Agents Faster with Datapizza AI

    Build LLM Agents Faster with Datapizza AI Intro Organizations are increasingly investing in AI as these new tools are adopted in everyday operations more and more. This continuous wave of innovation is fueling the demand for more efficient and reliable frameworks. Following this trend, Datapizza (the startup behind Italy’s tech community) just released an open-source…

  • Bringing Vision-Language Intelligence to RAG with ColPali

    Bringing Vision-Language Intelligence to RAG with ColPali Unlocking the value of non-textual contents in your knowledge base The post Bringing Vision-Language Intelligence to RAG with ColPali appeared first on Towards Data Science. Julian Yip Go to original source

  • Generative AI Myths, Busted: An Engineers’s Quick Guide

    Generative AI Myths, Busted: An Engineers’s Quick Guide A super simple and quick guide to how generative AI works, the myths around it, and why it won’t replace engineers anytime soon. The post Generative AI Myths, Busted: An Engineers’s Quick Guide appeared first on Towards Data Science. Amy Ma Go to original source

  • Why Context Is the New Currency in AI: From RAG to Context Engineering

    Why Context Is the New Currency in AI: From RAG to Context Engineering Context, not computation, is the real currency of intelligent systems The post Why Context Is the New Currency in AI: From RAG to Context Engineering appeared first on Towards Data Science. Sudheer Singamsetty Go to original source

  • LLM Monitoring and Observability: Hands-on with Langfuse

    LLM Monitoring and Observability: Hands-on with Langfuse Learn the fundamentals of LLM monitoring and observability, from tracing to evaluation and setting up a dashboard using Langfuse The post LLM Monitoring and Observability: Hands-on with Langfuse appeared first on Towards Data Science. Ahmad Talal Riaz Go to original source

  • Why Your Prompts Don’t Belong in Git

    Why Your Prompts Don’t Belong in Git The hidden cost of storing prompts in your source code The post Why Your Prompts Don’t Belong in Git appeared first on Towards Data Science. Giorgos Myrianthous Go to original source

  • Is Google’s Reveal of Gemini’s Impact Progress or Greenwashing?

    Is Google’s Reveal of Gemini’s Impact Progress or Greenwashing? On the surface, Google’s numbers sound reassuringly small, but the more closely you look, the more complicated the story becomes. The post Is Google’s Reveal of Gemini’s Impact Progress or Greenwashing? appeared first on Towards Data Science. Kasper Groes Albin Ludvigsen Go to original source

  • What Does “Following Best Practices” Mean in the Age of AI?

    What Does “Following Best Practices” Mean in the Age of AI? How data and ML practitioners should navigate a rapidly changing landscape The post What Does “Following Best Practices” Mean in the Age of AI? appeared first on Towards Data Science. TDS Editors Go to original source

  • Generating Structured Outputs from LLMs

    Generating Structured Outputs from LLMs An overview of popular techniques to confine LLMs’ output to a predefined schema The post Generating Structured Outputs from LLMs appeared first on Towards Data Science. Ibrahim Habib Go to original source

  • Declarative and Imperative Prompt Engineering for Generative AI

    Declarative and Imperative Prompt Engineering for Generative AI Conceptual overview and practical considerations The post Declarative and Imperative Prompt Engineering for Generative AI appeared first on Towards Data Science. Chinmay Kakatkar Go to original source

  • LLMs + Pandas: How I Use Generative AI to Generate Pandas DataFrame Summaries

    LLMs + Pandas: How I Use Generative AI to Generate Pandas DataFrame Summaries Local Large Language Models can convert massive DataFrames to presentable Markdown reports — here’s how. The post LLMs + Pandas: How I Use Generative AI to Generate Pandas DataFrame Summaries appeared first on Towards Data Science. Dario Radečić Go to original source

  • Think. Know. Act. How AI’s Core Capabilities Will Shape the Future of Work

    Think. Know. Act. How AI’s Core Capabilities Will Shape the Future of Work “It is not the strongest of the species that survives, nor the most intelligent, but the one most responsive to change.” – Charles Darwin, Originator of Evolutionary Theory Not long ago, I came across an article about a CEO, who was visibly…

  • Diffusion Models, Explained Simply

    Diffusion Models, Explained Simply Introduction Generative AI is one of the most popular terms we hear today. Recently, there has been a surge in generative AI applications involving text, image, audio, and video generation. When it comes to image creation, Diffusion models have emerged as a state-of-the-art technique for content generation. Although they were first introduced…

  • Step-by-Step Guide to Build and Deploy an LLM-Powered Chat with Memory in Streamlit

    Step-by-Step Guide to Build and Deploy an LLM-Powered Chat with Memory in Streamlit In this post, I’ll show you step by step how to build and deploy a chat powered with LLM — Gemini — in Streamlit and monitor the API usage on Google Cloud Console. Streamlit is a Python framework that makes it super easy to turn your…

  • Layers of the AI Stack, Explained Simply

    Layers of the AI Stack, Explained Simply This is the first in a multi-part series on creating web applications with Generative Ai integration. Table of Contents Introduction The Virtues of the Application Layer Thick Wrappers The Return of Clippy Getting Stuff Done While You Sleep Introduction The AI space is a vast and complicated landscape. Matt…

  • The Art of Noise

    The Art of Noise Introduction In my last several articles I talked about generative deep learning algorithms, which mostly are related to text generation tasks. So, I think it would be interesting to switch to generative algorithms for image generation now. We knew that nowadays there have been plenty of deep learning models specialized for…

  • Understanding the Tech Stack Behind Generative AI

    Understanding the Tech Stack Behind Generative AI Understanding the Tech Stack Behind Generative AI When ChatGPT reached the one million user mark within five days and took off faster than any other technology in history, the world began to pay attention to artificial intelligence and AI applications. And so it continued apace. Since then, many…

  • Japanese-Chinese Translation with GenAI: What Works and What Doesn’t

    Japanese-Chinese Translation with GenAI: What Works and What Doesn’t Authors Alex (Qian) Wan: Alex (Qian) is a designer specializing in AI for B2B products. She is currently working at Microsoft, focusing on machine learning and Copilot for data analysis. Previously, she was the Gen AI design lead at VMware.Eli Ruoyong Hong : Eli is a…

  • The Impact of GenAI and Its Implications for Data Scientists

    The Impact of GenAI and Its Implications for Data Scientists GenAI systems affect how we work. This general notion is well known. However, we are still unaware of the exact impact of GenAI. For example, how much do these tools affect our work? Do they have a larger impact on certain tasks? What does this…

  • Generative AI Is Declarative

    Generative AI Is Declarative ChatGPT launched in 2022 and kicked off the Generative Ai boom. In the two years since, academics, technologists, and armchair experts have written libraries worth of articles on the technical underpinnings of generative AI and about the potential capabilities of both current and future generative AI models. Surprisingly little has been…

  • Generative AI and Civic Institutions

    Generative AI and Civic Institutions Different sectors, different goals Recent events have got me thinking about AI as it relates to our civic institutions — think government, education, public libraries, and so on. We often forget that civic and governmental organizations are inherently deeply different from private companies and profit-making enterprises. They exist to enable…

  • A Visual Guide to How Diffusion Models Work

    A Visual Guide to How Diffusion Models Work This article is aimed at those who want to understand exactly how Diffusion Models work, with no prior knowledge expected. I’ve tried to use illustrations wherever possible to provide visual intuitions on each part of these models. I’ve kept mathematical notation and equations to a minimum, and where…