For the last couple of years, a lot of the conversation around AI has revolved around a single, deceptively simple question: Which model is the best? But the next question was always, the best for what? The best for reasoning? Writing? Coding? Or maybe it’s the best for images, audio, or video? That framing made sense when the technology was …
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How to Do Evals on a Bloated RAG Pipeline
to Building an Overengineered Retrieval System. That one was about building the entire system. This one is about doing the evals for it. In the previous article, I went through different parts of a RAG pipeline: chunking the data properly, query optimization, retrieval (semantic, BM25, or hybrid search), re-ranking, expanding chunks to neighbors, building the context, and then generation with …
Read More »New York Governor Kathy Hochul signs RAISE Act to regulate AI safety
Governor Kathy Hochul has signed the RAISE Act, positioning New York as the second U.S. state to enact major AI safety legislation. State lawmakers passed RAISE Act in June, but following lobbying from the tech industry, Hochul proposed changes to scale the bill back. The New York Times reports that Hochul ultimately agreed to sign the original bill, while lawmakers …
Read More »The Machine Learning “Advent Calendar” Day 19: Bagging in Excel
For 18 days, we have explored most of the core machine learning models, organized into three major families: distance- and density-based models, tree- or rule-based models, and weight-based models. Up to this point, each article focused on a single model, trained on its own. Ensemble learning changes this perspective completely. It is not a standalone model. Instead, it is a …
Read More »The Machine Learning “Advent Calendar” Day 18: Neural Network Classifier in Excel
Neural Network Regressor, we now move to the classifier version. From a mathematical point of view, the two models are very similar. In fact, they differ mainly by the interpretation of the output and the choice of the loss function. However, this classifier version is where intuition usually becomes much stronger. In practice, neural networks are used far more often …
Read More »Amazon appoints longtime AWS exec Peter DeSantis to lead new AI org
Amazon CEO Andy Jassy announced in a message to staff on Wednesday that longtime AWS executive Peter DeSantis will lead a new AI-focused organization within the company. This organization will be responsible for Amazon’s AI models like Nova, as well as silicon development and quantum computing, which help make AI tools faster and more efficient. DeSantis has spent 27 years …
Read More »Zencoder drops Zenflow, a free AI orchestration tool that pits Claude against OpenAI’s models to catch coding errors
Zencoder, the Silicon Valley startup that builds AI-powered coding agents, released a free desktop application on Monday that it says will fundamentally change how software engineers interact with artificial intelligence — moving the industry beyond the freewheeling era of “vibe coding” toward a more disciplined, verifiable approach to AI-assisted development. The product, called Zenflow, introduces what the company describes as …
Read More »6 Technical Skills That Make You a Senior Data Scientist
be honest. Writing code in 2025 is much easier than it was ten, or even five, years ago. We moved from Fortran to C to Python, each step lowering the effort needed to get something working. Now tools like Cursor and GitHub Copilot can write boilerplate, refactor functions, and improve coding pipelines from a few lines of natural language. At …
Read More »Why most enterprise AI coding pilots underperform (Hint: It’s not the model)
Gen AI in software engineering has moved well beyond autocomplete. The emerging frontier is agentic coding: AI systems capable of planning changes, executing them across multiple steps and iterating based on feedback. Yet despite the excitement around “AI agents that code,” most enterprise deployments underperform. The limiting factor is no longer the model. It’s context: The structure, history and intent …
Read More »The Machine Learning “Advent Calendar” Day 13: LASSO and Ridge Regression in Excel
One day, a data scientist told that Ridge Regression was a complicated model. Because he saw that the training formula is more complicated. Well, this is exactly the objective of my Machine Learning “Advent Calendar”, to clarify this kind of complexity. So, ile, we will talk about penalized versions of linear regression. First, we will see why the regularization or …
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