In this tutorial, we fine-tune a Sentence-Transformers embedding model using Matryoshka Representation Learning so that the earliest dimensions of the vector carry the most useful semantic signal. We train with MatryoshkaLoss on triplet data and then validate the key promise of MRL by benchmarking ...

EVs are getting cheaper and more common all over the world. But the technology still faces major challenges in some markets, including many countries in Africa. Some regions across the continent still have limited grid and charging infrastructure, and those that do have widespread electricity ...

Anton Cherepanov is always on the lookout for something interesting. And in late August last year, he spotted just that. It was a file uploaded to VirusTotal, a site cybersecurity researchers like him use to analyze submissions for potential viruses and other types of malicious software, often ...

Algorithms & Theory

In this tutorial, we build an advanced, end-to-end learning pipeline around Atomic-Agents by wiring together typed agent interfaces, structured prompting, and a compact retrieval layer that grounds outputs in real project documentation. Also, we demonstrate how to plan retrieval, retrieve relevant ...

Would this video work better as a Reel or a TikTok? 🤔 If you create short-form content, this probably isn’t a theoretical debate — it’s a…

AI agents are a risky business. Even when stuck inside the chatbox window, LLMs will make mistakes and behave badly. Once they have tools that they can use to interact with the outside world, such as web browsers and email addresses, the consequences of those mistakes become far more serious. That ...

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. A “QuitGPT” campaign is urging people to cancel their ChatGPT subscriptions In September, Alfred Stephen, a freelance software developer in Singapore, purchased ...

Sixteen autonomous AI agents. Two weeks of continuous execution. Nearly 100,000 lines of Rust code. That’s what it took for Anthropic to build a working C compiler capable of compiling large real-world projects like the Linux kernel. There is, however, a kicker here. The project, internally ...

A-T-S!! A hurdle that most applicants just can’t cross. Spending hours on Overleaf and resume making websites to create their perfect resumes: just to find out that it has an ATS score of 40! For some it’s a dead end. Regardless of what they try, the score doesn’t seem to get anywhere near the ...