10 Common Misconceptions About Large Language Models
Large language models (LLMs) have rapidly integrated into our daily workflows.
TII Falcon-H1 models now available on Amazon Bedrock Marketplace and Amazon SageMaker JumpStart
This post was co-authored with Jingwei Zuo from TII. We are excited to announce the availability of the Technology Innovation Institute (TII)’s Falcon-H1 models on Amazon Bedrock Marketplace and Amazon SageMaker JumpStart. With this launch, developers and data scientists can now use six instruction-tuned Falcon-H1 models (0.5B, 1.5B, 1.5B-Deep, 3B, 7B, and 34B) on AWS, and have access …
Scaling high-performance inference cost-effectively
At Google Cloud Next 2025, we announced new inference capabilities with GKE Inference Gateway, including support for vLLM on TPUs, Ironwood TPUs, and Anywhere Cache. Our inference solution is based on AI Hypercomputer, a system built on our experience running models like Gemini and Veo 3, which serve over 980 trillion tokens a month to …
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‘War Is Here’: The Far-Right Responds to Charlie Kirk Shooting With Calls for Violence
Prominent far-right figures and elected officials have called for vengeance following the death of conservative activist Charlie Kirk.
Just tried HunyuanImage 2.1
Hey guys, I just tested out the new HunyuanImage 2.1 model on HF and… wow. It’s completely uncensored. It even seems to actually understand male/female anatomy, which is kinda wild compared to most other models out there. Do you think this could end up being a serious competitor to Chroma? From what I’ve seen, there …
Multi-Agent Systems: The Next Frontier in AI-Driven Cyber Defense
The increasing sophistication of cyber threats calls for a systemic change in the way we defend ourselves against them.
7 Scikit-learn Tricks for Optimized Cross-Validation
Validating machine learning models requires careful testing on unseen data to ensure robust, unbiased estimates of their performance.
ROC AUC vs Precision-Recall for Imbalanced Data
When building machine learning models to classify imbalanced data — i.
Powering innovation at scale: How AWS is tackling AI infrastructure challenges
As generative AI continues to transform how enterprises operate—and develop net new innovations—the infrastructure demands for training and deploying AI models have grown exponentially. Traditional infrastructure approaches are struggling to keep pace with today’s computational requirements, network demands, and resilience needs of modern AI workloads. At AWS, we’re also seeing a transformation across the technology …
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Introducing the Agentic SOC Workshops for security professionals
The security operations centers of the future will use agentic AI to enable intelligent automation of routine tasks, augment human decision-making, and streamline workflows. At Google Cloud, we want to help prepare today’s security professionals to get the most out of tomorrow’s AI agents. As we build our agentic vision, we’re also excited to invite …
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