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Grokipedia, or the “bias-free Wikipedia”, is finally here. With a massive store of over 800K articles, Grokipedia isn’t just another challenger to the reign of free information: it’s already taking its place. A lot has changed since the first public release of Grokipedia, from the addition of more articles to the promise of even more to follow. I’ll be putting the “AI-powered encyclopedia” to the test to see how well it fares with tasks specifically designed to challenge its “bias-free” assertion. Without further ado, let’s jump into it. Source: X I also reviewed their previous version and you can read…
After many long hours deliberating whether you need AI — having convinced your board, team, and every stakeholder under the sun that AI ‘just makes sense,’ you’ll feel like you’ve won the lottery. But now comes another big decision. You need to find a partner capable of building the kind of AI you’ve promised your company. And since 85% of AI and machine learning projects fail to deliver expected results, this is no easy task. That said, if you know where to find teams specialized in building custom AI, you’re 90% of the way there, and this is somewhere we…
Image by Author # Introduction The ability to collect high-quality, relevant information is still a core skill for any data professional. While there are several ways to gather data, one of the most powerful and dependable methods is through APIs (application programming interfaces). They serve as bridges, allowing different software systems to communicate and share data seamlessly. In this article, we’ll break down the essentials of using APIs for data collection — why they matter, how they work, and how to get started with them in Python. # What is an API? An API (application programming interface) is a set…
Imagine a world where AI Agents not only engage in conversation but also embark on grand quests, defeat evil adversaries, and work together to rescue the wizarding world. Today, we are going to look at one of the most exciting use cases for Large Language Models. We will build a fully autonomous multi-player Dungeons & Dragons game with LangChain. This is not just an introductory chatbot tutorial. What we are trying to achieve is more involved: a working cooperation of multiple AI agents, with their own personalities, their own goals, all responding to one another in real time, within the…
If you follow AI news (or simply spend time on Twitter), you’ve undoubtedly seen a new trending topic these last couple of weeks. It’s all thanks to a company called OpenAI, which just published software called ChatGPT. Almost overnight, the internet was awash with business leaders, influencers, and your everyday Twitter user sharing what they’ve produced using this absolutely remarkable tool. And today, we’re bringing you the product lowdown by asking questions like, ‘What is ChatGPT’ and ‘Why is ChatGPT so popular?’ to none other than… Well, who better to ask than ChatGPT itself?! In this candid interview, the software…
Image by Editor # Introduction Let me start with a confession: My first API was a disaster. I’d spent weeks coding what I thought was a “masterpiece” for a weather app, only to realize later that no one — including my future self — could figure out how to use it. The documentation was an afterthought, the error messages were cryptic, and security? Let’s just say it was more “open house” than “fortress.” That experience taught me that API development for web apps and data products isn’t just about writing code. It’s about empathy — for the developers using your…
If you’re learning LangGraph or exploring more about it then it’s nice to know about the pre-built node-level caching in LangGraph. Caching not only eliminates unnecessary computation but also fastens the latency. We’ll be looking at the implementation of the same in the article. It’s assumed that you have an idea about agents and nodes in LangGraph as we won’t be focusing on that side of the story, so without any further ado let’s walk into the concepts and implementation. What is Caching? Caching stores data in temporary storage so the system can retrieve it quickly. In the context of…
Using artificial intelligence in healthcare is fraught with challenges. A unique problem in the field is heavy input formats. Tissue samples are often digitalized in ultra-high resolution. And the file size of these images can be several gigabytes, making them impossible to load in a generic image viewer (due to a lack of memory to accommodate a deserialized image). That’s why we must pay particular attention to preprocessing when using particularly large images with any artificial intelligence model. This article will walk you through how to process large medical images efficiently using Apache Beam — and we’ll use a specific…
Image by Author # Introduction If you have been writing code in the past couple of months, I am pretty sure you must have noticed a shift. AI is no longer something that just suggests snippets; it has gone beyond that, it’s starting to act. Developers are moving from assistive tools like Copilot to agentic systems that understand a goal, plan a sequence of steps, and execute them on their own. Google Jules sits at the front of that curve. It’s not a chat assistant that lives in your IDE; it’s a fully asynchronous coding agent. You tell it what…
OpenAI is shipping products fast, but is the quality top-notch? That’s questionable! They recently launched their own browser, ChatGPT Atlas. By the looks of it, it seems quite similar to Chrome and Perplexity’s Comet, probably a blend of both. I personally love Comet and have been using it for a while now. In this blog, I will first take you through the features of ChatGPT Atlas and then compare it to Comet on the specific tasks that Comet handles super fast. Are you ready? Key Features of ChatGPT Atlas? Web-Wide Utility: Bring ChatGPT across the web for instant answers, smarter suggestions,…