If you’ve built chatbots or worked with language models, you’re already familiar with how AI systems handle memory within a single conversation.
How are you, hacker? 🪐 What’s happening in tech today, January 3, 2026? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, Alaska became the 49th US state in 1959, The first block of the Bitcoin blockchain was mined in 2009, Panama leader Manuel Noriega surrendered to US authorities in 1990, and we present you with these top quality stories. From 10 Noteworthy C and C++ Bugs Found in Open-Source Projects in 2025 […]
It was a wild two months. There have once again been many developments in AI research, with two Nobel Prizes awarded to AI and several interesting research papers published. Among others, Meta AI released their latest Llama 3.2 models, which include open-weight versions for the 1B and 3B large language models and two multimodal models. In this article, I aim to explain how multimodal LLMs function. Additionally, I will review and summarize roughly a dozen other recent multimodal […]
An intuitive, step-by-step look at how Transformers use self-attention to turn static word embeddings into contextual representations, illustrated with simple examples and an Excel-friendly walkthrough. The post The Machine Learning “Advent Calendar” Day 24: Transformers for Text in Excel appeared first on Towards Data Science.
Colleen Hroncich When millions of children struggle to sit still, focus, and conform to rigid classroom expectations, it’s become an epidemic of ADHD and other disorders. The New York Times is beginning to consider what should have been obvious all along: Maybe the problem isn’t the children. Others, including my colleague Kerry McDonald, have been raising these concerns for years. As Kerry notes, Boston College psychology Professor Peter Gray has described ADHD as a “failure to adapt to […]
Deep work, over-identification, sports, and blogging The post Lessons Learned After 8 Years of Machine Learning appeared first on Towards Data Science.
Master the essential skill of deploying machine learning models with courses, projects, examples, resources, and interview questions.
OpenAI just released their new open-weight LLMs this week: gpt-oss-120b and gpt-oss-20b, their first open-weight models since GPT-2 in 2019. And yes, thanks to some clever optimizations, they can run locally (but more about this later). This is the first time since GPT-2 that OpenAI has shared a large, fully open-weight model. Earlier GPT models showed how the transformer architecture scales. The 2022 ChatGPT release then made these models mainstream by demonstrating concrete usefulness for writing and knowledge […]
Want to level up your data science toolkit? Here are some Python libraries that’ll make your work easier.
In this article, we rebuild Logistic Regression step by step directly in Excel. Starting from a binary dataset, we explore why linear regression struggles as a classifier, how the logistic function fixes these issues, and how log-loss naturally appears from the likelihood. With a transparent gradient-descent table, you can watch the model learn at each iteration—making the whole process intuitive, visual, and surprisingly satisfying. The post The Machine Learning “Advent Calendar” Day 12: Logistic Regression in Excel appeared […]