As computers and software become increasingly sophisticated, hackers need to rapidly adapt to the latest developments and devise new strategies to plan and execute cyberattacks. One common strategy to maliciously infiltrate computer systems is known as software exploitation.
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Regression is undoubtedly one of the most mainstream tasks machine learning models can address.
Every data selection method inherently has a target. In practice, these targets often emerge implicitly through benchmark-driven iteration: researchers develop selection strategies, train models, measure benchmark performance, then refine accordingly. This raises a natural question: what happens when we make this optimization explicit? To explore this, we propose benchmark-targeted ranking (BETR), a simple method that …
Read more “Language Models Improve When Pretraining Data Matches Target Tasks”
Generative AI is transforming how businesses deliver personalized experiences across industries, including travel and hospitality. Travel agents are enhancing their services by offering personalized holiday packages, carefully curated for customer’s unique preferences, including accessibility needs, dietary restrictions, and activity interests. Meeting these expectations requires a solution that combines comprehensive travel knowledge with real-time pricing and …
Read more “Build real-time travel recommendations using AI agents on Amazon Bedrock”
As organizations race to deploy powerful GPU-accelerated workloads, they might overlook a foundational step: ensuring the integrity of the system from the very moment it turns on. Threat actors, however, have not overlooked this. They increasingly target the boot process with sophisticated malware like bootkits, which seize control before any traditional security software can load …
Google’s new Gemini Embedding model now leads the MTEB benchmark. But it is facing fierce competition from closed and open source rivals.Read More
In a lawsuit filed against prominent leaker Jon Prosser, Apple alleges a conspiracy to break into a development device and steal its trade secrets. Prosser insists Apple has it all wrong.
🚀 Just released a LoRA for Wan 2.1 that adds realistic drone-style push-in motion. Model: Wan 2.1 I2V – 14B 720p Trained on 100 clips — and refined over 40+ versions. Trigger: Push-in camera 🎥 + ComfyUI workflow included for easy usePerfect if you want your videos to actually *move*.👉 https://huggingface.co/lovis93/Motion-Lora-Camera-Push-In-Wan-14B-720p-I2V#AI #LoRA #wan21 #generativevideo u/ComfyUI …
Read more “🚀 Just released a LoRA for Wan 2.1 that adds realistic drone-style push-in motion.”
Large language model embeddings, or LLM embeddings, are a powerful approach to capturing semantically rich information in text and utilizing it to leverage other machine learning models — like those trained using Scikit-learn — in tasks that require deep contextual understanding of text, such as intent recognition or sentiment analysis.