Image by Author | Canva # Introduction I understand that with the pace at which data science is growing, it’s getting harder for data scientists to keep up with all the new technologies, demands, and trends. If you think that knowing Python and machine learning will get the job done for you in 2025, then …
Today, we’re releasing the stable version of Gemini 2.5 Flash-Lite, our fastest and lowest cost ($0.10 input per 1M, $0.40 output per 1M) model in the Gemini 2.5 model family. We built 2.5 Flash-Lite to push the frontier of intelligence per dollar, with native reasoning capabilities that can be optionally toggled on for more demanding …
Gemini 2.5 Flash-Lite is now stable and generally available Read More »
refers to the careful design and optimization of inputs (e.g., queries or instructions) for guiding the behavior and responses of generative AI models. Prompts are typically structured using either the declarative or imperative paradigm, or a mixture of both. The choice of paradigm can have a big impact on the accuracy and relevance of the …
Declarative and Imperative Prompt Engineering for Generative AI Read More »
Image by Editor | ChatGPT # Introduction Machine learning has become an integral part of many companies, and businesses that don’t utilize it risk being left behind. Given how critical models are in providing a competitive advantage, it’s natural that many companies want to integrate them into their systems. There are many ways to set …
Setting Up a Machine Learning Pipeline on Google Cloud Platform Read More »
Research Published 23 July 2025 Authors The Aeneas team Introducing the first model for contextualizing ancient inscriptions, designed to help historians better interpret, attribute and restore fragmentary texts. Writing was everywhere in the Roman world — etched onto everything from imperial monuments to everyday objects. From political graffiti, love poems and epitaphs to business transactions, …
Aeneas transforms how historians connect the past Read More »
Join Nolan Fortman and Logan Kilpatrick for a conversation with Matan Grinberg, CEO of Factory AI, about the future of software development, the launch of Factory, the challenges of scaling up autonomous coding agents, and the pivot that led to Factory building Droids. Check out Factory AI and Droids: https://www.factory.ai/
is everywhere. There are countless books, articles, tutorials, and videos, some of which I have written or created. In my experience, most of these resources tend to present data storytelling in an overwhelmingly positive light. But lately, one concern has been on my mind: What if our stories, instead of clarifying, mislead? Image 1. Change …
Sponsored Content How much time do you spend fighting your tools instead of solving problems? Every data scientist has been there: downsampling a dataset because it won’t fit into memory or hacking together a way to let a business user interact with a machine learning model. The ideal environment gets out of the …
Acknowledgements We thank the International Mathematical Olympiad organization for their support. Thang Luong led the overall technical direction of the advanced Gemini model with Deep Think for IMO and co-led with Edward Lockhart on the overall coordination of the IMO 2025 effort. The IMO 2025 system would not have been possible without the following technical …
part, I did an exploratory data analysis of the gamma spectroscopy data. We were able to see that using a modern scintillation detector, we can not only see that the object is radioactive. With a gamma spectrum, we are also able to tell why it is radioactive and what kind of isotopes the object contains. …
Exploratory Data Analysis: Gamma Spectroscopy in Python (Part 2) Read More »
