So many posts with actual new model releases and technical progression, why can’t we go back to the good old times where people just posted random waifus? /s Just uses the standard Wan 2.2 I2V workflow with a wildcard prompt like the following repeated 4 or 5 times: {hand pops|moving her body and shaking her …
Read more “This sub has had a distinct lack of dancing 1girls lately”
Large language models (LLMs) have rapidly integrated into our daily workflows.
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 …
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 …
Read more “Scaling high-performance inference cost-effectively”
Prominent far-right figures and elected officials have called for vengeance following the death of conservative activist Charlie Kirk.
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 …
The increasing sophistication of cyber threats calls for a systemic change in the way we defend ourselves against them.
Validating machine learning models requires careful testing on unseen data to ensure robust, unbiased estimates of their performance.
When building machine learning models to classify imbalanced data — i.
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 …
Read more “Powering innovation at scale: How AWS is tackling AI infrastructure challenges”