Articles for category: AI Tools

Qwen2 VL – Inference and Fine-Tuning for Understanding Charts

Vision-Language understanding models are playing a crucial role in deep learning now. They can help us summarize, answer questions, and even generate reports faster for complex images. One such family of models is the Qwen2 VL. They have instruct models in the range of 2B, 7B, and 72B parameters. The smaller 2B models, although fast and require less memory, do not perform well on chart understanding. In this article, we will cover two aspects while dealing with the Qwen2 VL models – inference and fine-tuning for understanding charts. Figure 1. Inference demo using the fine-tuned Qwen2 VL model. Here, we

Data Machina #262 – by Carlos

Hoping the AI Agents would show up and help. But after the humans in charge evaporated, the AI Agents never arrived. 3 flights cancelled. 30 hours stranded in Gatwick. No personalised online help, no chatbot assistants, no cash from the ATM, no ccard payments, no flights to escape from hell. Being human is about feeling useless and impotent when 1,000s of machines fail in chain because a little s/w update went haywire. I wonder what will happen when in a few years -inevitably- billions of AI Agents operating out in the wild decide to go on strike. In the meantime,

Why Post-Training Matters Now: From SFT to RFT

In today’s competitive AI landscape, customization of foundation models has become essential for organizations seeking to create differentiated value. As using the same models as competitors leads to commoditization, post-training techniques have emerged as critical tools that allow enterprises to tailor models to their specific needs without incurring the prohibitive costs of building models from scratch. Among these techniques, Supervised Fine-Tuning (SFT) and Reinforcement Fine-Tuning (RFT)  represent two distinct approaches with unique strengths and applications. The economics of model customization have shifted dramatically in favor of post-training methods, with efficiency gains increasingly derived from strategic adaptations rather than developing entirely

Features & Behind the Scenes

How can AI make reading more enjoyable? What would an AI-powered reading experience look like? Inspired by a discussion between Andrej Karpathy and Patrick Collison, I built a simple prototype to explore some ideas. (Try it at AiReadingClub.com!) In this write-up, I’ll walk through key features, design considerations, and how it was built. Exactly, roughly what I tried and mostly failed. I want to highlight some text in the pdf, pull out the highlight, the preceding text of the chapter, maybe the generated summaries of the other chapters, put it all together, attach nearby images if any… there’s a whole

Empowering Open Source: The License-Token Revolution

Open source development has been at the heart of technological innovation for decades. However, with great creativity comes great complexity—especially when it comes to licensing, attribution, and monetization. In a world where open source projects are continuously evolving, maintaining clarity and fairness in these areas is essential. That’s where License-Token steps in, providing an innovative solution that leverages blockchain technology and smart contracts to empower open source creators. In this blog post, we explore License-Token’s groundbreaking approach and its potential to redefine the future of open source licensing. Introduction Open source projects thrive on community collaboration and the shared passion

Introducing Impressions at Netflix | by Netflix Technology Blog | Feb, 2025

Part 1: Creating the Source of Truth for Impressions By: Tulika Bhatt Imagine scrolling through Netflix, where each movie poster or promotional banner competes for your attention. Every image you hover over isn’t just a visual placeholder; it’s a critical data point that fuels our sophisticated personalization engine. At Netflix, we call these images ‘impressions,’ and they play a pivotal role in transforming your interaction from simple browsing into an immersive binge-watching experience, all tailored to your unique tastes. Capturing these moments and turning them into a personalized journey is no simple feat. It requires a state-of-the-art system that can

Database ACID Properties: Atomic, Consistent, Isolated, Durable – BMC Software

Understanding the foundation of reliable and consistent database transactions I don’t think it’s an overstatement to say that data is pretty important. Data is especially important for modern organizations. In fact, The Economist went so far as to say that data surpassed oil as the world’s most valuable resource, which was back in 2017. One of the problems with data, though, is the massive amounts that need to be processed daily. There’s so much data being generated across the globe these days that we have to come up with a new term just to express how much data there is:

Lightning AI Joins AI Alliance To Advance Open, Safe, Responsible AI

Company Joins International Community of AI Organizations, Led by IBM and Meta, That Includes Leading Startups, Academia, Research and Government Organizations Lightning AI, the company behind PyTorch Lightning, today announced it has joined the AI Alliance, which includes more than 50 leading organizations across industries that are coming together to support open AI research, development, innovation and science. Lightning AI has supported open source AI since 2019 by building and making public PyTorch Lightning, torchmetrics, lit-gpt and lit-llama, enterprise-grade tools available to the general developer community. These tools have set new standards for training foundation models at scale and are