Articles for category: AI Tools

Release notes for Deephaven Core version 0.36

Deephaven Community Core version 0.36.0 is available now, with several new features, improvements, bug fixes, and more. We’ve rounded up the highlights below. Native table iteration in Python​ Four new table operations are now available that allow you to iterate over table data in Python efficiently. They are: The first two iterate over the table one row at a time, while the latter iterate over chunks of rows. All four methods use efficient chunked operations on the backend and return generators to minimize data copies and memory usage, making them ideal for large tables. Take a look at how they’re

Getting Started with Smolagents

What are agents? Hugging Face puts it quite succinctly – “AI Agents are programs where LLM outputs control the workflow.” However, the ambiguous term here is LLM. Today LLMs control the workflow, and we call these “programs” agents, but this will probably change. Perhaps there is no clear answer even as of 2025. Nor are we going to answer the question in this article. This article has one simple aim. To get the readers started with the Hugging Face smolagents library. And along the way, break down what is happening under the hood that leads to the use of the term

Data Machina #257 – by Carlos

On Compound AI Systems, Txt2SQL & Data Agents. A year ago or so, a client enthusiastically presented us with a long list of “AI LLM projects.” Among them, there was one project listed as: “use text-to-sql to automate all data analysis tasks” … We thought: “Umm… this is going to be an interesting project”… Months later the client abandoned the project. Pioneers in Text-to-SQL at enterprise scale. afaik, Pinterest was one of the first companies that deployed Tex2SQL at scale in enterprise production. Importantly, they were one of the first ones in sharing their experience. This is an excellent post

The State of Generative AI in America: First National Study Reveals Adoption Patterns and Productivity Gains

National Survey Maps Generative AI’s Integration into Daily Tasks. In a recent research study to measure the real-world impact of generative AI, economists Alexander Bick, Adam Blandin, and David J. Deming conducted one of the first nationally representative surveys tracking how Americans are using this new technology. Their innovative study design combined data from two survey waves in 2024, collecting responses from more than 10,000 working-age adults through the Real-Time Population Survey (RPS). By carefully structuring their survey to parallel the methodology of the Current Population Survey, the researchers were able to benchmark their findings against historical adoption patterns of

My Minimal MacBook Pro Setup Guide

I just upgraded my personal laptop from a 2019 Intel MacBook Pro to an M4 MacBook Pro. Like all my new devices, instead of restoring from a backup, I try to Marie Kondo my digital life and start from a clean slate. This also lets me reexamine my existing tools and explore new options. Here’s my minimal Mac setup guide if you want to follow along. MacOS settings Apple ID: Sign in MacOS update: Settings -> General -> Software Update Keyboard: Switch to Dvorak, key repeat = fast, delay until repeat = short Trackpad: Max tracking speed, tap to click,

Introducing Configurable Metaflow | by Netflix Technology Blog

13 min read · Dec 20, 2024 David J. Berg*, David Casler^, Romain Cledat*, Qian Huang*, Rui Lin*, Nissan Pow*, Nurcan Sonmez*, Shashank Srikanth*, Chaoying Wang*, Regina Wang*, Darin Yu**: Model Development Team, Machine Learning Platform^: Content Demand Modeling Team A month ago at QConSF, we showcased how Netflix utilizes Metaflow to power a diverse set of ML and AI use cases, managing thousands of unique Metaflow flows. This followed a previous blog on the same topic. Many of these projects are under constant development by dedicated teams with their own business goals and development best practices, such as the

AI Augmentation: Harnessing the Power of Human-AI Collaboration – BMC Software

Many predictions to the outcome of humans and artificial intelligence take an either/or approach. Skynet is determined to end the human race in The Terminator. In The Matrix, the machines have learned to farm humans for battery power. Then, there are the reports that AI beats the best Go and Chess players in the world, and there is no shot for a human victory. These views make it seem that in order to win, humans must exist free of computer control. A more likely outcome—a better picture of success—is to say, “We found our peace through AI/human augmentation.” AI augmentation

Lightning AI Joins the PyTorch Foundation as a Premier Member

by Team PyTorch The PyTorch Foundation, a neutral home for the deep learning community to collaborate on the open source PyTorch framework and ecosystem, is announcing today that Lightning AI has joined as a premier member. Lightning AI is the company behind PyTorch Lightning, the platform and open-source framework for companies to build and deploy AI products leveraging the latest generative AI models. “This is a very important milestone for Lightning AI and the PyTorch Lightning community,” remarks Luca Antiga, Chief Technology Officer of Lightning AI. “By joining the PyTorch Foundation, we are strengthening our commitment to boost the adoption