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Tag: ai

  • Rethinking the Environmental Costs of Training AI — Why We Should Look Beyond Hardware

    Rethinking the Environmental Costs of Training AI — Why We Should Look Beyond Hardware Summary of This Study Hardware choices – specifically hardware type and its quantity – along with training time, have a significant positive impact on energy, water, and carbon footprints during AI model training, whereas architecture-related factors do not. The interaction between…

  • The Westworld Blunder

    The Westworld Blunder We’re entering an interesting moment in AI development. AI systems are getting memory, reasoning chains, self-critiques, and long-context recall. These capabilities are exactly some of the things that I’ve previously written would be prerequisites for an AI system to be conscious. Just to be clear, I don’t believe today’s AI systems are self-aware, but…

  • ACP: The Internet Protocol for AI Agents

    ACP: The Internet Protocol for AI Agents With ACP (Agent Communication Protocol), AI agents can collaborate freely across teams, frameworks, technologies, and organizations. It’s a universal protocol that transforms the fragmented landscape of today’s AI Agents into inter-connected team mates. This unlocks new levels of interoperability, reuse, and scale. As an open-source standard with open…

  • Generating Data Dictionary for Excel Files Using OpenPyxl and AI Agents

    Generating Data Dictionary for Excel Files Using OpenPyxl and AI Agents Introduction Every company I worked for until today, there it was: the resilient MS Excel. Excel was first released in 1985 and has remained strong until today. It has survived the rise of relational databases, the evolution of many programming languages, the Internet with…

  • We Need a Fourth Law of Robotics in the Age of AI

    We Need a Fourth Law of Robotics in the Age of AI Artificial Intelligence has become a mainstay of our daily lives, revolutionizing industries, accelerating scientific discoveries, and reshaping how we communicate. Yet, alongside its undeniable benefits, AI has also ignited a range of ethical and social dilemmas that our existing regulatory frameworks have struggled…

  • How I Built Business-Automating Workflows with AI Agents

    How I Built Business-Automating Workflows with AI Agents AI agents and automation are no longer just a trend — they are transforming how companies operate. In a previous article, I shared several case studies of AI Agents supporting the sustainability roadmaps of small, medium and large companies. AI Agents for Sustainability — (Image by Samir Saci) This is part of a…

  • 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…

  • Attaining LLM Certainty with AI Decision Circuits

    Attaining LLM Certainty with AI Decision Circuits The promise of AI agents has taken the world by storm. Agents can interact with the world around them, write articles (not this one though), take actions on your behalf, and generally make the difficult part of automating any task easy and approachable.  Agents take aim at the most…

  • Agentic AI 101: Starting Your Journey Building AI Agents

    Agentic AI 101: Starting Your Journey Building AI Agents Introduction The Artificial Intelligence industry is moving fast. It is impressive and many times overwhelming. I have been studying, learning, and building my foundations in this area of Data Science because I believe that the future of Data Science is strongly correlated with the development of…

  • A Farewell to APMs — The Future of Observability is MCP tools

    A Farewell to APMs — The Future of Observability is MCP tools Image generated using Midjourney The past years have been an absolute rollercoaster (or joyride) of rapidly evolving generative AI technologies. In the twenty-five years I’ve counted myself a software developer, I cannot recall a tectonic shift of a similar magnitude, one that is already fundamentally changing…

  • From FOMO to Opportunity: Analytical AI in the Era of LLM Agents

    From FOMO to Opportunity: Analytical AI in the Era of LLM Agents Are you feeling “fear of missing out” (FOMO) when it comes to LLM agents? Well, that was the case for me for quite a while. In recent months, it feels like my online feeds have been completely bombarded by “LLM Agents”: every other…

  • How to Level Up Your Technical Skills in This AI Era

    How to Level Up Your Technical Skills in This AI Era AI-assisted coding is here to stay. Tools like Cursor, V0, and Lovable have dramatically lowered the barrier to entry — building dashboards, pipelines, or entire apps can now be done in a fraction of the time. I use these tools daily, and they’ve definitely made me…

  • AI Agents for a More Sustainable World

    AI Agents for a More Sustainable World As political support for sustainability weakens, the need for long-term sustainable practices has never been more critical. How can we use analytics, boosted by agentic AI, to support companies in their green transformation? For years, the focus of my blog was always on using Supply Chain Analytics methodologies…

  • How to Ensure Your AI Solution Does What You Expect iI to Do

    How to Ensure Your AI Solution Does What You Expect iI to Do Generative AI (GenAI) is evolving fast — and it’s no longer just about fun chatbots or impressive image generation. 2025 is the year where the focus is on turning the AI hype into real value. Companies everywhere are looking into ways to…

  • When OpenAI Isn’t Always the Answer: Enterprise Risks Behind Wrapper-Based AI Agents

    When OpenAI Isn’t Always the Answer: Enterprise Risks Behind Wrapper-Based AI Agents “Wait… are you sending journal entries to OpenAI?” That was the first thing my friend asked when I showed her Feel-Write, an AI-powered journaling app I built during a hackathon in San Francisco. I shrugged. “It was an AI-themed hackathon, I had to…

  • Enterprise AI: From Build-or-Buy to Partner-and-Grow

    Enterprise AI: From Build-or-Buy to Partner-and-Grow Not long ago, a cooperation partner casually approached me with an AI use case at their organization. They wanted to make their onboarding process for new staff more efficient by using AI to answer the repetitive questions of newcomers. I suggested a practical chat approach that would integrate their…

  • AI Agents Processing Time Series and Large Dataframes

    AI Agents Processing Time Series and Large Dataframes Intro Agents are AI systems, powered by LLMs, that can reason about their objectives and take actions to achieve a final goal. They are designed not just to respond to queries, but to orchestrate a sequence of operations, including processing data (i.e. dataframes and time series). This…

  • Google’s New AI System Outperforms Physicians in Complex Diagnoses

    Google’s New AI System Outperforms Physicians in Complex Diagnoses Imagine going to the doctor with a baffling set of symptoms. Getting the right diagnosis quickly is crucial, but sometimes even experienced physicians face challenges piecing together the puzzle. Sometimes it might not be something serious at all; others a deep investigation might be required. No…

  • An Unbiased Review of Snowflake’s Document AI

    An Unbiased Review of Snowflake’s Document AI As data professionals, we’re comfortable with tabular data… Tabular data. Image by Author. We can also handle words, json, xml feeds, and pictures of cats. But what about a cardboard box full of things like this? (Image by Annie Spratt, Unsplash) The info on this receipt wants so…

  • 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…

  • Deb8flow: Orchestrating Autonomous AI Debates with LangGraph and GPT-4o

    Deb8flow: Orchestrating Autonomous AI Debates with LangGraph and GPT-4o Introduction I’ve always been fascinated by debates—the strategic framing, the sharp retorts, and the carefully timed comebacks. Debates aren’t just entertaining; they’re structured battles of ideas, driven by logic and evidence. Recently, I started wondering: could we replicate that dynamic using AI agents—having them debate each…

  • Creating an AI Agent to Write Blog Posts with CrewAI

    Creating an AI Agent to Write Blog Posts with CrewAI Introduction I love writing. You may notice that if you follow me or my blog. For that reason, I am constantly producing new content and talking about Data Science and Artificial Intelligence. I discovered this passion a couple of years ago when I was just…

  • The Case for Centralized AI Model Inference Serving

    The Case for Centralized AI Model Inference Serving As AI models continue to increase in scope and accuracy, even tasks once dominated by traditional algorithms are gradually being replaced by Deep Learning models. Algorithmic pipelines — workflows that take an input, process it through a series of algorithms, and produce an output — increasingly rely…

  • Agentic AI: Single vs Multi-Agent Systems

    Agentic AI: Single vs Multi-Agent Systems We’ve seen this shift the last few years from building rigid programming systems to natural language-driven workflows, all made possible with more advanced large language models. One of the interesting areas into these Agentic Ai systems is the difference between building a single versus multi-agent workflow, or perhaps the…

  • 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 Ultimate AI/ML Roadmap For Beginners

    The Ultimate AI/ML Roadmap For Beginners AI is transforming the way businesses operate, and nearly every company is exploring how to leverage this technology. As a result, the demand for AI and machine learning skills has skyrocketed in recent years. With nearly four years of experience in AI/ML, I’ve decided to create the ultimate guide…

  • From Fuzzy to Precise: How a Morphological Feature Extractor Enhances AI’s Recognition Capabilities

    From Fuzzy to Precise: How a Morphological Feature Extractor Enhances AI’s Recognition Capabilities Introduction: Can AI really distinguish dog breeds like human experts? One day while taking a walk, I saw a fluffy white puppy and wondered, Is that a Bichon Frise or a Maltese? No matter how closely I looked, they seemed almost identical.…

  • Build Your Own AI Coding Assistant in JupyterLab with Ollama and Hugging Face

    Build Your Own AI Coding Assistant in JupyterLab with Ollama and Hugging Face Jupyter AI brings generative AI capabilities right into the Jupyter interface. Having a local AI assistant ensures privacy, reduces latency, and provides offline functionality, making it a powerful tool for developers. In this article, we’ll learn how to set up a local…

  • Evolving Product Operating Models in the Age of AI

    Evolving Product Operating Models in the Age of AI In a previous article on organizing for AI (link), we looked at how the interplay between three key dimensions — ownership of outcomes, outsourcing of staff, and the geographical proximity of team members — can yield a variety of organizational archetypes for implementing strategic AI initiatives,…

  • From Fuzzy to Precise: How a Morphological Feature Extractor Enhances AI’s Recognition Capabilities

    From Fuzzy to Precise: How a Morphological Feature Extractor Enhances AI’s Recognition Capabilities Introduction: Can AI really distinguish dog breeds like human experts? One day while taking a walk, I saw a fluffy white puppy and wondered, Is that a Bichon Frise or a Maltese? No matter how closely I looked, they seemed almost identical.…

  • 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…

  • The Urgent Need for Intrinsic Alignment Technologies for Responsible Agentic AI

    The Urgent Need for Intrinsic Alignment Technologies for Responsible Agentic AI Advancements in agentic artificial intelligence (AI) promise to bring significant opportunities to individuals and businesses in all sectors. However, as AI agents become more autonomous, they may use scheming behavior or break rules to achieve their functional goals. This can lead to the machine…

  • LLM + RAG: Creating an AI-Powered File Reader Assistant

    LLM + RAG: Creating an AI-Powered File Reader Assistant Introduction AI is everywhere.  It is hard not to interact at least once a day with a Large Language Model (LLM). The chatbots are here to stay. They’re in your apps, they help you write better, they compose emails, they read emails…well, they do a lot.…

  • Towards a perturbation-based explanation for medical AI as differentiable programs

    Towards a perturbation-based explanation for medical AI as differentiable programs arXiv:2502.14001v1 Announce Type: new Abstract: Recent advancement in machine learning algorithms reaches a point where medical devices can be equipped with artificial intelligence (AI) models for diagnostic support and routine automation in clinical settings. In medicine and healthcare, there is a particular demand for sufficient…

  • AI Agents from Zero to Hero – Part 1

    AI Agents from Zero to Hero – Part 1 Intro AI Agents are autonomous programs that perform tasks, make decisions, and communicate with others. Normally, they use a set of tools to help complete tasks. In GenAI applications, these Agents process sequential reasoning and can use external tools (like web searches or database queries) when…

  • Zero Human Code: What I Learned from Forcing AI to Build (and Fix) Its Own Code for 27 Straight Days

    Zero Human Code: What I Learned from Forcing AI to Build (and Fix) Its Own Code for 27 Straight Days 27 days, 1,700+ commits, 99,9% AI generated code The narrative around AI development tools has become increasingly detached from reality. YouTube is filled with claims of building complex applications in hours using AI assistants. The…

  • The Cultural Backlash Against Generative AI

    The Cultural Backlash Against Generative AI What’s making many people resent generative AI, and what impact does that have on the companies responsible? Photo by Joshua Hoehne on Unsplash The recent reveal of DeepSeek-R1, the large scale LLM developed by a Chinese company (also named DeepSeek), has been a very interesting event for those of us…

  • Improving Agent Systems & AI Reasoning

    Improving Agent Systems & AI Reasoning DeepSeek-R1, OpenAI o1 & o3, Test-Time Compute Scaling, Model Post-Training and the Transition to Reasoning Language Models (RLMs) Image by author and GPT-4o meant to represent DeepSeek and other competitive GenAI model providers Introduction Over the past year generative AI adoption and AI Agent development have skyrocketed. Reports from LangChain…

  • Injecting domain expertise into your AI system

    Injecting domain expertise into your AI system How to connect the dots between AI technology and real life (Source: Getty Images) When starting their AI initiatives, many companies are trapped in silos and treat AI as a purely technical enterprise, sidelining domain experts or involving them too late. They end up with generic AI applications that miss…

  • DeepSeek V3: A New Contender in AI-Powered Data Science

    DeepSeek V3: A New Contender in AI-Powered Data Science How DeepSeek’s budget-friendly AI model stacks up against ChatGPT, Claude, and Gemini in SQL, EDA, and machine learning Continue reading on Towards Data Science » Yu Dong Go to original source

  • Great Books for AI Engineering

    Great Books for AI Engineering 10 books with valuable insights about AI science and engineering Great books for AI Engineering — Plus ‘Brave New Words’ (Image is Author’s own work) A few years ago I recommended 21 books in Great Books for Data Science and Great Books for Data Science 2. Since then a lot has changed. While…

  • AI Ethics for the Everyday User — Why Should You Care?

    AI Ethics for the Everyday User — Why Should You Care? A beginner’s guide to understanding the importance of ethics in artificial intelligence Continue reading on Towards Data Science » Murtaza Ali Go to original source

  • On a Time Crunch but Still Want to Learn to Develop Multi-Agent AI?

    On a Time Crunch but Still Want to Learn to Develop Multi-Agent AI? These 3 starter projects only take a weekend (and a few cups of coffee, maybe) Continue reading on Towards Data Science » Thuwarakesh Murallie Go to original source

  • Fighting Fraud Fairly: Upgrade Your AI Toolkit

    Fighting Fraud Fairly: Upgrade Your AI Toolkit A practical approach to address bias in AI systems Photo by the author As sophisticated AI systems are increasingly used in decision-making, ensuring fairness has become a priority, with a growing need to prevent algorithms from disproportionately affecting vulnerable groups in sensitive areas like the justice or educational system. One…

  • Advancing AI Reasoning: Meta-CoT and System 2 Thinking

    Advancing AI Reasoning: Meta-CoT and System 2 Thinking How Meta-CoT enhances system 2 reasoning for complex AI challenges Continue reading on Towards Data Science » Kaushik Rajan Go to original source

  • Why Generative-AI Apps’ Quality Often Sucks and What to Do About It

    Why Generative-AI Apps’ Quality Often Sucks and What to Do About It How to get from PoCs to tested high-quality applications in production Image licensed from elements.envato.com, edit by Marcel Müller, 2025 The generative AI hype has rolled through the business world in the past two years. This technology can make business process executions more efficient,…

  • Learning from Machine Learning | Sebastian Raschka: Mastering ML and Pushing AI Forward Responsibly

    Learning from Machine Learning | Sebastian Raschka: Mastering ML and Pushing AI Forward Responsibly Sebastian Raschka has helped demystify deep learning for thousands through his books, tutorials and teachings Sebastian Raschka has helped shape how thousands of data scientists and machine learning engineers learn their craft. As a passionate coder and proponent of open-source software,…

  • The AI (R)Evolution, Looking From 2024 Into the Immediate Future

    The AI (R)Evolution, Looking From 2024 Into the Immediate Future Witnessing rapid innovation, fierce competition, and transformative tools for life, work, and human development Continue reading on Towards Data Science » LucianoSphere (Luciano Abriata, PhD) Go to original source

  • What Would a Stoic Do? — An AI-Based Decision-Making Model

    What Would a Stoic Do? — An AI-Based Decision-Making Model Using AI to build Marcus Aurelius’ reincarnation Continue reading on Towards Data Science » Pol Marin Go to original source

  • How to Build an AI Agent for Data Analytics Without Writing SQL

    How to Build an AI Agent for Data Analytics Without Writing SQL Create a comprehensive AI agent from the ground up utilizing LangChain and DuckDB Continue reading on Towards Data Science » Chengzhi Zhao Go to original source

  • AI Agents Hype, Explained — What You Really Need to Know to Get Started

    AI Agents Hype, Explained — What You Really Need to Know to Get Started I’ll set the record straight — AI Agents are not new but advanced. Learn how they’ve evolved and where to get started. Continue reading on Towards Data Science » Marc Nehme Go to original source

  • The Cultural Impact of AI Generated Content: Part 2

    The Cultural Impact of AI Generated Content: Part 2 What can we do about the increasingly sophisticated AI generated content in our lives? Photo by Meszárcsek Gergely on Unsplash In my prior column, I established how AI generated content is expanding online, and described scenarios to illustrate why it’s occurring. (Please read that before you go on…

  • What I’m Updating in My AI Ethics Class for 2025

    What I’m Updating in My AI Ethics Class for 2025 What happened in 2024 that is new and significant in the world of AI ethics? The new technology developments have come in fast, but what has ethical or values implications that are going to matter long-term? I’ve been working on updates for my 2025 class…

  • AI-Powered Information Extraction and Matchmaking

    AI-Powered Information Extraction and Matchmaking Developing an application for extracting key profile information from CVs and recommending jobs aligned with the profile Continue reading on Towards Data Science » Umair Ali Khan Go to original source

  • GDD: Generative Driven Design

    GDD: Generative Driven Design Reflective generative AI software components as a development paradigm Nowhere has the proliferation of generative AI tooling been more aggressive than in the world of software development. It began with GitHub Copilot’s supercharged autocomplete, then exploded into direct code-along integrated tools like Aider and Cursor that allow software engineers to dictate…

  • Transforming Data into Solutions: Building a Smart App with Python and AI

    Transforming Data into Solutions: Building a Smart App with Python and AI Some financial analysts worry that artificial intelligence may not justify the massive investments being made in the field. While I understand their concerns, I see things differently. I’m neither an AI Boomer nor an AI Doomer — I believe AI has the potential to drive…

  • Building a Custom AI Jira Agent

    Building a Custom AI Jira Agent How I used Google Mesop, Django, LangChain Agents, CO-STAR & Chain-of-Thought (CoT) prompting combined with the Jira API to better automate Jira Photo by Google DeepMind on Unsplash The inspiration for this project came from hosting a Jira ticket creation tool on a web application I had developed for internal users.…

  • Creating a WhatsApp AI Agent with GPT-4o

    Creating a WhatsApp AI Agent with GPT-4o Created with DALL-E How to use the Meta API to build your own LLM-powered Whatsapp chatbot A game-changer in the field of AI and business management is the integration of AI agents with widely used communication tools. Think of having a familiar chat interface with real-time data requests, updates, and…

  • The 80/20 problem of generative AI — a UX research insight

    The 80/20 problem of generative AI — a UX research insight Image by author The 80/20 problem of generative AI — a UX research insight When an LLM solves a task 80% correctly, that often only amounts to 20% of the user value. The Pareto principle says if you solve a problem 20% through, you get 80% of the value. The opposite…

  • A New Approach to AI Safety: Layer Enhanced Classification (LEC)

    A New Approach to AI Safety: Layer Enhanced Classification (LEC) LEC surpasses best in class models, like GPT-4o, by combining the efficiency of a ML classifier with the language understanding of an LLM Imagine sitting in a boardroom, discussing the most transformative technology of our time — artificial intelligence — and realizing we’re riding a rocket with no reliable safety…

  • 2024 Highlights: The AI and Data Science Articles That Made a Splash

    2024 Highlights: The AI and Data Science Articles That Made a Splash Feeling inspired to write your first TDS post before the end of 2024? We’re always open to contributions from new authors. And just like that, 2024 is (almost) in the books. It was a year of exciting transitions — both for the TDS team and, in…

  • 100 Years of (eXplainable) AI

    100 Years of (eXplainable) AI Reflecting on advances and challenges in deep learning and explainability in the ever-evolving era of LLMs and AI governance Image by author Background Imagine you are navigating a self-driving car, relying entirely on its onboard computer to make split-second decisions. It detects objects, identifies pedestrians, and even can anticipate behavior of…

  • Will Your Christmas Be White? Ask An AI Weather Model!

    Will Your Christmas Be White? Ask An AI Weather Model! Learn how to visualize AI weather and create your own forecast for the holidays Continue reading on Towards Data Science » Caroline Arnold Go to original source

  • 2024 in Review: What I Got Right, Where I Was Wrong, and Bolder Predictions for 2025

    2024 in Review: What I Got Right, Where I Was Wrong, and Bolder Predictions for 2025 What I got right (and wrong) about trends in 2024 and daring to make bolder predictions for the year ahead AI Buzzword and Trend Bingo (Image by the author) In 2023, building AI-powered applications felt full of promise, but the challenges…

  • Agentic AI: Building Autonomous Systems from Scratch

    Agentic AI: Building Autonomous Systems from Scratch A Step-by-Step Guide to Creating Multi-Agent Frameworks in the Age of Generative AI Continue reading on Towards Data Science » Luís Roque Go to original source

  • How I’d Learn AI in 2025 (If I Knew Nothing)

    How I’d Learn AI in 2025 (If I Knew Nothing) A 5-step roadmap for today’s landscape Today, more people than ever are trying to learn AI. Although there are countless free learning resources online, navigating this rapidly evolving landscape can be overwhelming (especially as a beginner). In this article, I discuss how I’d approach learning…

  • Why “AI Can’t Reason” Is a Bias

    Why “AI Can’t Reason” Is a Bias We humans are proud creatures Continue reading on Towards Data Science » Rafe Brena, Ph.D. Go to original source

  • Nobel Prizes 2024: AI Breakthroughs Win Big

    Nobel Prizes 2024: AI Breakthroughs Win Big Lessons Learned After the AI Nobel Debate Continue reading on Towards Data Science » Andrea Valenzuela Go to original source

  • AI, My Holiday Elf: Building a Gift Recommender for the Perfect Christmas

    AI, My Holiday Elf: Building a Gift Recommender for the Perfect Christmas How I used AI and Streamlit to create a festive and fun gift recommendation app Continue reading on Towards Data Science » Shuqing Ke Go to original source

  • How to Integrate AI and Data Science into Your Business Strategy

    How to Integrate AI and Data Science into Your Business Strategy DATA SCIENCE CONSULTING Insider consulting guide to conducting a successful 2-day executive workshop Image by author using Canva “Our industry does not respect tradition — it only respects innovation.” — Satya Nadella, CEO Microsoft, Letter to employees in 2014 While not all industries are as competitive and cutthroat as the…

  • Multimodal RAG: Process Any File Type with AI

    Multimodal RAG: Process Any File Type with AI A beginner-friendly guide with example (Python) code This is the third article in a larger series on multimodal AI. In the previous posts, we discussed multimodal LLMs and embedding models, respectively. In this article, we will combine these ideas to enable the development of multimodal RAG systems. I’ll…

  • What Teaching AI Taught me About Data Skills & People

    What Teaching AI Taught me About Data Skills & People Three key lessons from my journey as a corporate AI educator Photo by Mikhail Nilov. As an AI Educator, my job was to equip corporate teams with the data & AI skills they needed to thrive. But looking back, I realized that I learned far more from…

  • The Cultural Impact of AI Generated Content: Part 1

    The Cultural Impact of AI Generated Content: Part 1 What happens when AI generated media becomes ubiquitous in our lives? How does this relate to what we’ve experienced before, and how does it change us? Photo by Annie Spratt on Unsplash This is the first part of a two part series I’m writing analyzing how people and…

  • Why Internal Company Chatbots Fail and How to Use Generative AI in Enterprise with Impact

    Why Internal Company Chatbots Fail and How to Use Generative AI in Enterprise with Impact Start with the problem and not with the solution Background licensed from elements.envato.com, edit by Marcel Müller 2024 The most common disillusion that many organizations have is the following: They get excited about generative AI with ChatGPT or Microsoft Co-Pilot, read some…

  • where were these call centers?

    https://www.freethink.com/robots-ai/generative-ai-shipping

  • Open Source AI Inference API w/ Together

    Open Source AI Inference API w/ Together sentdex Go to original source

  • Should I try to become a Data scientist or AI engineer

    Should I try to become a Data scientist or AI engineer Background: I’m a 25M with 2.5 years experience as an analyst. (Soon enrolling in a masters program in CS) There are a few careers possibilities for me, but I’m confused as to whether I should try to become a general data scientist or ai…

  • Neuromorphic Computing — an Edgier, Greener AI

    Neuromorphic Computing — an Edgier, Greener AI Neuromorphic Computing — an Edgier, Greener AI Why computer hardware and AI algorithms are being reinvented using inspiration from the brain euromorphic Computing might not just help bring AI to the edge, but also reduce carbon emissions at data centers. Generated by author with ImageGen 3. There are periodic proclamations of the coming neuromorphic computing…