Articles for category: AI Tools

A Mixture of Foundation Models for Segmentation and Detection Tasks

VLMs, LLMs, and foundation vision models, we are seeing an abundance of these in the AI world at the moment. Although proprietary models like ChatGPT and Claude drive the business use cases at large organizations, smaller open variations of these LLMs and VLMs drive the startups and their products. Building a demo or prototype can be about saving costs and creating something valuable for the customers. The primary question that arises here is, “How do we build something using a combination of different foundation models that has value?” In this article, although not a complete product, we will create something

Data Machina #254 – Data Machina

On the State of AI Coding Agents. “How could we start using AI to migrate years of messy, flimsy legacy code to a modern stack? … Perhaps an AI Code Migration Agent ???” We’re doing AI chat & espresso at Level 39, One Canada Square. James -a veteran CTO with all the scars- is asking these rather funny, rhetorical questions. There is a deep silence in the room, pensive faces around. Everyone is staring through the massive windows overlooking The City skyline as the sunset strikes. We wonder in perplexity -in the very philosophical and information theory sense- whether AI

AI Governance Cheat Sheet: Comparing Regulatory Frameworks Across the EU, US, UK, and China

This Cheat sheet explores the critical and rapidly evolving landscape of AI governance, focusing on the diverse approaches taken by major global players: the European Union, the United States, the United Kingdom, and China. As artificial intelligence systems become increasingly integrated into crucial sectors like healthcare, finance, and transportation, the need for effective regulatory frameworks to manage ethical concerns, security risks, and societal impacts has become paramount. This short guide summarizes and synthesizes key findings from the comprehensive research paper, “Between Innovation and Oversight: A Cross-Regional Study of AI Risk Management Frameworks in the EU, U.S., UK, and China,” by

Weights & Biases LLM-Evaluator Hackathon

This weekend, I had the opportunity to judge the Weights & Biases LLM-Judge Hackathon. Over two days, more than 100 people took part with 15 teams demoing their work on day two. The teams built creative and practical projects such as constructing and validating knowledge graphs from documents, evaluating LLMs on MBTI traits and creativity, optimizing evaluation prompts, evaluating multi-turn conversations, and more. I was invited to kick off the hackathon with a short talk, and took the chance to discuss: Things to consider when using LLMs-evaluators: What is our baseline? How will LLM-evaluators score responses? What metrics to evaluate

Electromagnetic Shielding: Picking the Perfect Faraday Box

In an significantly connected world, the necessity for security against electromagnetic interference has never been more crucial. Since devices become more sophisticated, so do the threats they deal with from technologies such as EMPs and broadcast frequency interference. This is when the Faraday container comes into have fun, serving like an essential barrier involving the important electronics along with the outdoors electromagnetic chaos. Regardless of whether this link ‘re a technical enthusiast wanting to safeguard gadgets or perhaps a company owner tasked along with protecting sensitive tools, choosing the appropriate Faraday box is essential. With various alternatives available on the

Title Launch Observability at Netflix Scale | by Netflix Technology Blog

Part 1: Understanding The Challenges By: Varun Khaitan With special thanks to my stunning colleagues: Mallika Rao, Esmir Mesic, Hugo Marques At Netflix, we manage over a thousand global content launches each month, backed by billions of dollars in annual investment. Ensuring the success and discoverability of each title across our platform is a top priority, as we aim to connect every story with the right audience to delight our members. To achieve this, we are committed to building robust systems that deliver comprehensive observability, enabling us to take full accountability for every title on our service. As engineers, we’re

What Is DBMS (Database Management System)? – BMC Software

Data is the cornerstone of any modern software application, and databases are the most common way to store and manage data used by applications. With the explosion of web and cloud technologies, databases have evolved from traditional relational databases to more advanced types of databases such as NoSQL, columnar, key-value, hierarchical, and distributed databases. Each type has the ability to handle structured, semi-structured, and even unstructured data. On top of that, databases are continuously handling mission-critical and sensitive data. When this is coupled with compliance requirements and the distributed nature of most data sets, managing databases has become highly complex.

From PyTorch to PyTorch Lighting: Getting Started Guide

Takeaways Learn how to simplify your deep learning projects and supercharge your research with cleaner code using PyTorch Lightning. If you’ve been working with PyTorch, you’re likely familiar with its power and flexibility in building and training deep learning models. However, as your projects become more complex and your codebase grows, you may find yourself spending a significant amount of time on boilerplate code for managing training loops, handling data loaders, and implementing common training procedures. This is where PyTorch Lightning comes to the rescue. In this blog, we’ll explore how to transition from traditional PyTorch to PyTorch Lightning and