Browsing: Business & Startups

Among the list of things AI tools can help you with, video generation is arguably the most nuanced one. After all, making a video requires the peak of creativity. It combines visuals, audio, graphics, and animations, all in the most cohesive and impactful format. If there are AI video generators that can do that, what more can one ask for? Good news – they can. And here, I will tell you all about the best ones available today. These AI video generators will help you get the most cinematic outputs for ads, product videos, short films, or social content without…

Sentiment analysis offers significant business benefits, which is why more and more companies are implementing it. If you’re wondering how you can run sentiment analysis using TensorFlow Extended, we have something for you. We’ve created a free step-by-step walkthrough on how to apply BERT to sentiment analysis using TFX and Vertex AI pipelines.  But before we check out the course details, let’s look at TFX. TFX — an underrated Google tool  What do you know about TensorFlow Extended (TFX)? The tool offers a well-structured set of Google’s best MLOps practices. It also comes with a set of Google Cloud Platform-targeted…

Image by Editor   # Introduction  Eager to start your first, manageable machine learning project with Python’s popular libraries Pandas and Scikit-learn, but unsure where to start? Look no further. In this article, I will take you through a gentle, beginner-friendly machine learning project in which we will build together a regression model that predicts employee income based on socio-economic attributes. Along the way, we will learn some key machine learning concepts and essential tricks.   # From Raw Dataset to Clean DataFrame  First, just like with any Python-based project, it is a good practice to start by importing the necessary libraries,…

When it comes to machine learning interviews, Linear Regression almost always shows up. It’s one of those algorithms that looks simple at first, and that’s exactly why interviewers love it. It’s like the “hello world” of ML: easy to understand on the surface, but full of details that reveal how well you actually know your fundamentals. A lot of candidates dismiss it as “too basic,” but here’s the truth: if you can’t clearly explain Linear Regression, it’s hard to convince anyone you understand more complex models. So in this post, I’ll walk you through everything you really need to know,…

We’re already halfway through the year. And we can’t help but feel amazed by everything that’s happened in AI in just six months. Take this week’s lead story as the perfect example.  It rewinds the clock to see a young Leo Messi in his teenage years on his way to Barcelona for the first time — the thing is: the footage isn’t old. The ‘recording’ happened just a few months back. You can read all about it below, so let’s dive right in. Meet A Teenage Lionel Messi Adverts can be annoying, and the producers know that most viewers would…

Image by Author   # Introduction  If you’ve spent any time building modern web and mobile applications, you know the truth: the real work often starts long after the initial idea hits. Before you can write a single line of business logic, you’re wrestling with configuration. You need a functioning IDE, a local environment with the correct Node version, a database running, security rules set up, and perhaps a serverless function. This initial setup is a steep, repetitive hill that drains momentum and energy. Then comes the development phase, characterized by constant context switching. You’re toggling between your front-end code, the…

Using a large language model for the first time often feels like you are holding raw intelligence in your hands. They tend to write, summarize, and reason extremely well. However, you build and ship a real product, and all of the cracks in the model show themselves. It doesn’t remember what you said yesterday, and it starts to make things up when it runs out of context. This isn’t because the model isn’t intelligent. It is because the model is isolated from the outside world, and it is constrained by context windows that act like a little whiteboard. This can’t…

It’s baking hot (at least, it is here in Poland!), so we’re going to freshen things up with the latest news in artificial intelligence. One of the recent trending topics was the revelation that Google might have developed sentient AI. According to one Google engineer, the software can think, even feel, meaning we might be closer than ever to seeing living AI right here on Earth. Keep reading for the full rundown. Onwards! Does Artificial Intelligence Have Feelings? The world of AI was shocked recently by a tweet from Blake Lemoine, an engineer in Google’s Responsible AI division who posted…

Sponsored Content      So let me tell you about ChatLLM. I’ve been exploring this AI platform from Abacus.AI, and it’s honestly one of those tools that makes you wonder why you’ve been juggling five different AI subscriptions when you could just use one.   What Even Is ChatLLM?   Here’s the deal: ChatLLM is basically like having access to pretty much every major AI model out there, all in one place. We’re talking GPT-5, Claude Opus 4.1, Gemini 2.5, Grok-4, Deepseek, Llama 4—you name it. Instead of paying separately for ChatGPT, Claude, and whatever else, you get them all…

Building a RAG system just got much easier. Google has introduced File Search, a managed RAG feature for the Gemini API that handles the heavy lifting of connecting LLMs to your data. Forget managing chunking, embeddings, or vector databases: File Search does it all. This allows you to skip the infrastructure headaches and focus on what matters: creating a great application. In this guide, we’ll explore how File Search works and walk through its implementation with practical Python examples. What File Search Does? File Search enables Gemini to comprehend and reference information from proprietary data sources like reports, documents, and code…