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As we’ve all been using AI to boost our productivity, whether it’s helping us draft emails, summarize meetings, or even brainstorm date ideas, I started wondering: if AI had a childhood… what would it remember?
This article introduces LangChain, a framework designed to build agents powered by large language models (LLMs). Traditional LLM applications are often limited to static prompt-response interactions. LangChain overcomes this by integrating tool use, external APIs, and autonomous decision-making into the workflow. Through a hands-on demonstration using OpenAI’s GPT-4o model, we show how LangChain can be used for real-time data retrieval and mathematical computation.
Artificial intelligence is changing how students learn. Tools like ChatGPT are becoming personal “study buddies” that offer help anytime. Instead of just giving answers, if used properly, these AI helpers can guide students through tough subjects. A good example is Michele Weston, a graduate student at Michigan State University. When stuck on statistics problems late at night, she asks ChatGPT to explain concepts step by step. This shows how AI acts like a patient tutor.
Is this book really about breathing? Who needs to learn about breathing? I’ve only done it about a billion times in my life.
Lessons from Designing Zara, a Fully Agentic AI Scheduling Assistant What AI can and cannot do in the new Agentic World.
AI has revolutionized the internet and all things related. And amongst the long list of things and activities that have undergone irreversible transformation since the dawn of AI, web scraping is one of them. AI is changing web scraping, and changing it for the better.
How great ux copy bridges intent and action by guiding users, training AI, and powering seamless interactions in the age of intelligent systems.
Today's students worked tirelessly through elementary, middle, and high school, filtering down to elite universities, often still struggle with the simplest task: effective searching. Despite academic excellence, many don't know how to craft search queries, assess sources, or extract relevant information efficiently. Traditional search engines like Google often return dozens of results, mixed with irrelevant or low-quality pages requiring manual filtering. In contrast, AI-powered search tools act as intelligent assistants, refining queries and surfacing precisely on what users need by accounting for context, previous interactions, and personal information from the user. While AI results may omit some useful content, they significantly cut search time and improve relevance. Instead of spending precious minutes clicking through low-yield links, students receive curated sources that better match their needs.
"More than half (61%) of large US firms plan to use AI within the next year to automate tasks previously done by employees," The rapid rise of artificial intelligence has created waves of panic across industries and social media platforms. Blogs and news outlets often warn of mass unemployment, layoffs, and a near future where robots and algorithms leave human workers obsolete. People with all sorts of jobs from warehouse workers to writers and even software engineers, are worrying that AI is already here to take over their jobs.
The Developer's Dilemma If you're a developer, you most likely have had the following experience: Suddenly, you get an amazing idea for a project. Boosted by a jolt of excitement, you rush to your computer, open up your favorite IDE, and start typing away. As the initial excitement fades away, you find yourself feeling stuck and hitting roadblocks. You try one thing after another, one design idea after another. After a few different implementation attempts and a couple of hours later, you have tired eyes, a headache, and almost nothing to show for your brave efforts. Frustrated and confused, you step away from your computer.