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Mammogram Data Annotation for AI-Driven Breast…
Mammographic screenings are widely known for their accessibility, cost-efficiency, and dependable accuracy in detecting abnormalities. However, with over 100 million mammograms taken globally each year, each requiring at least two specialist reviews—the sheer volume creates significant challenges for radiologists, leading to delays in report generation, missed screenings, and an increased risk of diagnostic errors. A
Unexpected Emotions – by Monica Anderson
I rarely post about my own emotions. But I feel I must provide a glimpse of where we all will be going. This is about the emotional aspects of how we will relate to AI. And a little about the Epistemology of Emotions. I have a still unusual job; I do “vibe coding”, which means
ChatGPT Slays Microsoft Copilot in the…
Despite the fact that Microsoft has its own AI writer/assistant that competes directly with ChatGPT, many of its customers prefer ChatGPT. In some cases, the preference is so pronounced, many companies are opting for ChatGPT even though they have existing contracts with Microsoft to use its in-house alternative, MS Copilot, according to Bloomberg. The trend
Machine Learning’s Most Useful Multitool: Embeddings
Embeddings are one of the most versatile techniques in machine learning, and a critical tool every ML engineer should have in their tool belt. It’s a shame, then, that so few of us understand what they are and what they’re good for! The problem, maybe, is that embeddings sound slightly abstract and esoteric: In machine
GPT-3, a Giant Step for Deep…
A few days ago, OpenAI announced a new successor to their Language Model (LM) – GPT-3. This is the largest model trained so far, with 175 billion parameters. While training this large model has its merits, reading a large portion of 72 pages can be tiresome. In this blog post I’ll highlight the parts that
Anthropic Proposes Targeted Transparency Framework for…
As the development of large-scale AI systems accelerates, concerns about safety, oversight, and risk management are becoming increasingly critical. In response, Anthropic has introduced a targeted transparency framework aimed specifically at frontier AI models—those with the highest potential impact and risk—while deliberately excluding smaller developers and startups to avoid stifling innovation across the broader AI
The journey of Modernizing TorchVision –…
May 21, 2022 Vasilis Vryniotis . No comments It’s been a while since I last posted a new entry on the TorchVision memoirs series. Thought, I’ve previously shared news on the official PyTorch blog and on Twitter, I thought it would be a good idea to talk more about what happened on the last release
Real-Time AI Support for Translators
Translator Copilot is Unbabel’s new AI assistant built directly into our CAT tool. It leverages large language models (LLMs) and Unbabel’s proprietary Quality Estimation (QE) technology to act as a smart second pair of eyes for every translation. From checking whether customer instructions are followed to flagging potential errors in real time, Translator Copilot strengthens
Marek’s Dev Diary: July 3, 2025
What is this Every Thursday, I will share a dev diary about what we’ve been working on over the past few weeks. I’ll focus on the interesting challenges and solutions that I encountered. I won’t be able to cover everything, but I’ll share what caught my interest. Why am I doing it I want to
AI Powered Dynamic Pricing in Retail
Retailers today are operating in a high-stakes environment. Shifting consumer behavior, volatile supply chains, and razor-thin margins are the new normal. Traditional pricing strategies, often based on seasonal schedules or historical data, are no longer fast or flexible enough to keep up. Artificial intelligence is transforming how retailers approach pricing. It introduces speed, precision, and