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On March 31, 2026, Chaofan Shou (@Fried_rice) posted on X that “Claude code source code has been leaked via a map file in their npm registry!” The post included a direct link to the exposed source archive and screenshots of the unpacked codebase, and it quickly went viral, reaching
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I was honestly shocked by how good cursor was at reasoning. It was not just answering questions. It was figuring out what it needed to know, finding the right sources, and using them well. This was not limited to code. It appeared able to operate within the infrastructure environment with
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Last time, we followed Poirot and his little gray cells to gain an understanding of how RNNs work. Now, let’s further investigate this series on neural network architecture and delve into the Bahdanau attention mechanism, with the assistance of the great Sherlock Holmes and his friend, Dr. Watson. Sherlock
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Imagine you’re in a warm, lively London pub in 1920, sharing a beer with some friends. Your attention first settles on a man at a nearby table, sipping a glass of crème de cassis—an unusual choice for such a busy spot. Then you notice his neatly trimmed mustache.
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What is a Chain ? Chains are like a series of steps or actions. These steps could involve using an AI model, a tool, or processing some data. The main method for creating these chains is called LCEL. LCEL is awesome for making your own chains of steps, but sometimes you
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Introduction In this guide, we'll do what's shown in figure 1. First, we'll explain what a Prompt is and give some simple tips to get better at making prompts. Next, we'll talk about what a Langchain PromptTemplate is and go over its
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Introduction this training is based on a Udemy course titled "ChatGPT and LangChain: The Complete Developer's Masterclass," which has a duration of 12 hours. For those interested in taking the course, it's important to note that while the content is very interesting, it contains
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Have you ever wondered how machines understand human language, images, or even complex concepts? The answer often lies in the fascinating world of embeddings. What are embeddings? Embeddings are essentially numerical representations of different types of data—think words, images, or sounds. They map data to vectors in multi-dimensional
Everyone knows that Larry Page and Sergey Brin officially incorporated their company, Google, on September 4, 1998, in a garage rented for $1,700 a month by their friend Susan Wojcicki. And it is widely known that they relied on inexpensive materials (extremely cheap materials) to build their first production
Last time we described the first use case of our new roboadvisor product, as well as it’s overall architecture. Today we are going to start the implementation of the runner. The source code for this article can be found on github.
In the last article, we started to study a simple process used in the wealth management industry to construct a portfolio adapted to the risk / return profile of and investor. We demonstrate how to build a CAL (Capital Allocation Line) to visualize all the possible risk-return combination of a
According to the financial times two factors explains why only a small proportion of investors choose to change their Wealth Manager : 1. Wealth managers can make it difficult for consumers to break up with them, by charging high exit fees. 2. People usually don't like to take big