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Until last week everyone was talking about OpenAI’s Sora 2. While all of us wait for access in India, Google has just pulled off a masterstroke. Overnight, they not only announced the powerful Veo 3.1 but also rolled it out for free in Flow and via their Gemini suite. How can you not admire Google for this? Instead of a closed-door demo, they’ve handed us the keys to a state-of-the-art video studio, and it’s time to explore. In this article, I will tell you everything about Veo 3.1. What’s New in Veo 3.1 and Flow? Announced on October 15, 2025, this isn’t…
You might not be aware or do this unconsciously but, if you work with AI you also work in the decision science space. Imagine this: You have made an AI model that can take in support tickets and classify them into different subjects and sentiments. With that you can prioritize support tickets by how critical they are and have them directed to the appropriate support team. Sounds great right? But is it really that simple? No. With the AI model in place we are really only halfway to the finish line. If you decided to make an AI like the one…
The rapid rise of artificial intelligence is causing more and more people to ask: “Will AI replace my job?” Among them are programmers who see the enormous potential of AI in software development. But what can be done to avoid falling out of favor and being replaced by AI? It has been suggested in the business community that if AI replaces humans, it will only replace those who do not learn to harness it. What does this mean for us as developers? First, we must stay abreast of technological innovations to operate more efficiently and deliver innovative solutions. If you’re…
Image by Editor # Introduction According to CrowdFlower’s survey, data scientists spend 60% of their time organizing and cleaning the data. In this article, we’ll walk through building a data cleaning pipeline using a real-life dataset from DoorDash. It contains nearly 200,000 food delivery records, each of which includes dozens of features such as delivery time, total items, and store category (e.g., Mexican, Thai, or American cuisine). # Predicting Food Delivery Times with DoorDash Data DoorDash aims to estimate the time it takes to deliver food accurately, from the moment a customer places an order to the time it arrives…
The ecosystem of retrieval-augmented generation (RAG) has taken off in the last couple of years. More and more open-source projects, aimed at helping developers build RAG applications, are now seen across the internet. And why not? RAG is an effective method to augment large language models (LLMs) with an external knowledge source. So we thought, why not share the best GitHub repositories for mastering RAG systems with our readers? But before we do that, here is a little about RAG and its applications. RAG pipelines operate in the following way: The system retrieves documents or data, Data that is informative…
One of the most important questions when starting to work with and implement AI in your organization is also one of the most complicated to answer: Should you buy off-the-shelf AI products, build your own in-house or have it built custom by consultants?There’s no one size fits all answer here, but there are some considerations that can help you to understand what is best for you. I’ll try to go through the considerations and let you decide in the end what suits your business the best.Is AI strategic for your business?First of all I believe you should ask yourself: Is…
Your inbox is overflowing, and dozens, if not hundreds, of customer inquiries are pouring in. This scenario is especially noticeable during the peak of Black Friday sales or the holiday season rush. Each message represents a customer waiting for a response, and the clock is ticking. In these high-stakes moments, the pressure to respond promptly is immense. Delays can not only cause frustration but also risk losing customers to competitors who are just a click away. So, how do you manage this deluge of inquiries effectively? How do you ensure each customer feels well-served, even when your team is stretched?…
Sponsored Content Did you know that in the US, despite loving the brand or product, about 59% of consumers will walk away after a few bad experiences, according to a PwC report? The same report also mentions that about 17% will leave after just one unpleasant experience. The percentages and numbers may vary by geography and demographics, but these are still alarming statistics. Because for a business, every consumer counts. Therefore, it would not be wrong to say that while an excellent product and pricing strategy are critical to standing out, it is the customer experience that leaves…
What if you could build a functional ChatGPT-like AI for $100? Andrej Karpathy’s new nanochat tells you exactly that! Launched on October 13, 2025, Karpathy’s nanochat project is an open-source LLM coded in roughly 8,000 lines of PyTorch. It gives you a straightforward roadmap on how to train a language model from scratch and make your own private AI in a couple of hours. In this article, we will talk about the newly released nanochat and how to properly set it up for the training step by step. What is nanochat? The nanochat repository provides a full-stack pipeline to train…
Sometimes a very impressive algorithmic achievement is done and it should be celebrated. GPT-3 is a great example. GPT-3 is amazing engineering and data science and very well deserved it gets a lot of media attention. But for every GPT-3 there are hundreds of thousands of AI solutions, that are based on standard algorithms and not necessarily a genius achievement but a school book approach. It might sound like I’m having a go at many AI solutions out there but in fact it’s the other way around. Going for a groundbreaking genius solution is for the vast majority of AI-cases not…