An experiment with Wan 2.2 and seedvr2 upscale
Thoughts? submitted by /u/UAAgency [link] [comments]
Making Sense of Text with Decision Trees
In this article, you will learn: • Build a decision tree classifier for spam email detection that analyzes text data.
Train and deploy AI models at trillion-parameter scale with Amazon SageMaker HyperPod support for P6e-GB200 UltraServers
Imagine harnessing the power of 72 cutting-edge NVIDIA Blackwell GPUs in a single system for the next wave of AI innovation, unlocking 360 petaflops of dense 8-bit floating point (FP8) compute and 1.4 exaflops of sparse 4-bit floating point (FP4) compute. Today, that’s exactly what Amazon SageMaker HyperPod delivers with the launch of support for …
How to build a deep research agent for lead generation using Google’s ADK
Traditional lead generation often relies on brittle scrapers and static scripts that lack the ability to adapt or reason. What if we could architect an agent that doesn’t just fetch data, but emulates the analytical process of a market research team? An agent that can discover patterns, validate information, and generate qualified leads based on …
Read more “How to build a deep research agent for lead generation using Google’s ADK”
AOL Will Shut Down Dial-Up Internet Access in September
The move will pinch users in rural or remote areas not yet served by broadband infrastructure or satellite internet. Around 175,000 households still use dial-up internet in the US.
Filtered data stops openly-available AI models from performing dangerous tasks, study finds
Researchers from the University of Oxford, EleutherAI, and the UK AI Security Institute have reported a major advance in safeguarding open-weight language models. By filtering out potentially harmful knowledge during training, the researchers were able to build models that resist subsequent malicious updates—especially valuable in sensitive domains such as biothreat research.
UltraReal + Nice Girls LoRAs for Qwen-Image
TL;DR — I trained two LoRAs for Qwen-Image: Lenovo: my cross-model realism booster (I port this to every new base; Chroma version coming soon). – https://huggingface.co/Danrisi/Lenovo_Qwen/tree/main Nice Girls: focused on natural, pretty women. – https://huggingface.co/Danrisi/adorablegirls_qwen/tree/main I’m still feeling out Qwen’s generation settings, so results aren’t peak yet. Updates are coming—stay tuned. I’m also planning an …
How to Interpret Your XGBoost Model: A Practical Guide to Feature Importance
One of the most widespread machine learning techniques is XGBoost (Extreme Gradient Boosting).
Misty: UI Prototyping Through Interactive Conceptual Blending
UI prototyping often involves iterating and blending elements from examples such as screenshots and sketches, but current tools offer limited support for incorporating these examples. Inspired by the cognitive process of conceptual blending, we introduce a novel UI workflow that allows developers to rapidly incorporate diverse aspects from design examples into work-in-progress UIs. We prototyped …
Read more “Misty: UI Prototyping Through Interactive Conceptual Blending”
Accelerating Video Quality Control at Netflix with Pixel Error Detection
By Leo Isikdogan, Jesse Korosi, Zile Liao, Nagendra Kamath, Ananya Poddar At Netflix, we support the filmmaking process that merges creativity with technology. This includes reducing manual workloads wherever possible. Automating tedious tasks that take a lot of time while requiring very little creativity allows our creative partners to devote their time and energy to what …
Read more “Accelerating Video Quality Control at Netflix with Pixel Error Detection”