OpenAI is expanding its budget-friendly ChatGPT subscription plan beyond India. The company launched its sub-$5 ChatGPT Go paid plan for the country’s users last month and now is rolling out the same plan in Indonesia for Rp75,000 ($4.50) per month. The ChatGPT Go plan is a mid-tier subscription option that sits between OpenAI’s free version and its premium $20-per-month ChatGPT …
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The Kolmogorov–Smirnov Statistic, Explained: Measuring Model Power in Credit Risk Modeling
days, people are taking more loans than ever. For anyone who wants to build their own house, home loans are available and if you own a property, you can get a property loan. There are also agriculture loans, education loans, business loans, gold loans, and many more. In addition to these, for buying items like televisions, refrigerators, furniture and mobile …
Read More »A Region-Aware Multimodal Contrastive Learning Pre-trained Model for Medical Image Understanding
This paper has been withdrawn by Tianchen Fang [Submitted on 7 Aug 2025 (v1), last revised 19 Sep 2025 (this version, v2)] View a PDF of the paper titled RegionMed-CLIP: A Region-Aware Multimodal Contrastive Learning Pre-trained Model for Medical Image Understanding, by Tianchen Fang and 1 other authors No PDF available, click to view other formats Abstract:Medical image understanding plays …
Read More »Silicon Valley bets big on ‘environments’ to train AI agents
For years, Big Tech CEOs have touted visions of AI agents that can autonomously use software applications to complete tasks for people. But take today’s consumer AI agents out for a spin, whether it’s OpenAI’s ChatGPT Agent or Perplexity’s Comet, and you’ll quickly realize how limited the technology still is. Making AI agents more robust may take a new set …
Read More »Data Visualization Explained: What It Is and Why It Matters
attract all the hype these days within data science, but I’d argue they’re both secondary to a more important—and often-ignored—section of the field. When dealing with data, there are two essential steps: Processing and analyzing the data to extract meaningful insights. Conveying these insights to others. The second point is crucial and often overlooked. The world’s most advanced algorithm or …
Read More »Python Can Now Call Mojo | Towards Data Science
, ML engineers, and software developers, optimising every bit of performance from our codebases can be a crucial consideration. If you are a Python user, you’ll be aware of some of its deficits in this respect. Python is considered a slow language, and you’ve probably heard that a lot of the reason for this is due to its Global Interpreter …
Read More »The SyncNet Research Paper, Clearly Explained
Introduction Ever watched a badly dubbed movie where the lips don’t match the words? Or been on a video call where someone’s mouth moves out of sync with their voice? These sync issues are more than just annoying – they’re a real problem in video production, broadcasting, and real-time communication. The Syncnet paper tackles this head-on with a clever self-supervised …
Read More »Building LLM Apps That Can See, Think, and Integrate: Using o3 with Multimodal Input and Structured Output
, the standard “text in, text out” paradigm will only take you so far. Real applications that deliver actual value should be able to examine visuals, reason through complex problems, and produce results that systems can actually use. In this post, we’ll design this stack by bringing together three powerful capabilities: multimodal input, reasoning, and structured output. To illustrate this, …
Read More »Lincoln Center’s Collider Fellows explore how tech could transform the performing arts
At a time of high anxiety around technology’s impact on arts and culture, Lincoln Center for the Performing Arts’ Collider Fellowship is a program that welcomes multi-disciplinary artists to explore the opportunities that new tech presents for live performance and the performing arts. Today, the famed New York performing arts center is announcing its second class of Collider Fellows — …
Read More »Deploying a PICO Extractor in Five Steps
language models has made many Natural Processing (NLP) tasks appear effortless. Tools like ChatGPT sometimes generate strikingly good responses, leading even seasoned professionals to wonder if some jobs might be handed over to algorithms sooner rather than later. Yet, as impressive as these models are, they still stumble on tasks requiring precise, domain-specific extraction. Motivation: Why Build a PICO Extractor? …
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