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Scaling the input image resolution is essential for enhancing the performance of Vision Language Models (VLMs), particularly in text-rich image…
The integration of Large Language Models (LLMs) with external tools, applications, and data sources is increasingly vital. Two significant methods…
Web scraping and data extraction are crucial for transforming unstructured web content into actionable insights. Firecrawl Playground streamlines this process…
Despite rapid advances in vision-language modeling, much of the progress in this field has been shaped by models trained on…
You’ve probably noticed that some tasks in your Django app seem to take a long time. For example, maybe sending…
If you’re working on a Django project and you want to make your life easier – especially when it comes…
Most social users will have come across an influencer who looks a little… off. Maybe their facial features are a…
In 2000, Patrick J. McGovern ’59 and Lore Harp McGovern made an extraordinary gift to establish the McGovern Institute for…
Our 207th episode with a summary and discussion of last week’s big AI news!Recorded on 04/14/2025 Hosted by Andrey Kurenkov…
#732 — April 18, 2025 Read on the Web 🥚 A Good Friday, if you celebrate Easter at all. We’re…
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TLS certificate lifetimes are being significantly reduced over the next few years as part of an industry-wide push toward greater…
Keeping up with today’s fast-paced technological environment, with businesses undergoing a significant transformation in operations, customer interactions, and innovation, can…
Cybercriminals lure content creators with promises of cutting-edge AI wizardry, only to attempt to steal their data or hijack their…
Cybersecurity researchers are warning of a “widespread and ongoing” SMS phishing campaign that’s been targeting toll road users in the…
Direct Preference Optimization (DPO) has been widely adopted for preference alignment of Large Language Models (LLMs) due to its simplicity…
Diffusion models have become the dominant approach for visual generation. They are trained by denoising a Markovian process which gradually…
TL;DR: “Machine unlearning” aims to remove data from models without retraining the model completely. Unfortunately, state-of-the-art benchmarks for evaluating unlearning…