AI content generation is about feeding your AI models with semantic and contextual information. The result is a platform that can ‘understand’ what an item is, and how it should be used. AI creates content using semantic knowledge in any form of content including video, 3d, VR and more.
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Comparing 7 different image models
Tested a couple of prompts on different models. Only the base model, no community-made loras or finetunes except for SDXL. I’m on 8gb of vram so I used GGUFs for some of these models which is likely to have diminished the results. My results and observations will also be biased…
7 Machine Learning Trends to Watch in 2026
A couple of years ago, most machine learning systems sat quietly behind dashboards.
Automating competitive price intelligence with Amazon Nova Act
Monitoring competitor prices is essential for ecommerce teams to maintain a market edge. However, many teams remain trapped in manual tracking, wasting hours daily checking individual websites. This inefficient approach delays decision-making, raises operational costs, and risks human errors that result in missed revenue and lost opportunities. Amazon Nova Act…
Run real-time and async inference on the same infrastructure with GKE Inference Gateway
As AI workloads transition from experimental prototypes to production-grade services, the infrastructure supporting them faces a growing utilization gap. Enterprises today typically face a binary choice: build for high-concurrency, low-latency real-time requests, or optimize for high-throughput, “async” processing. In Kubernetes environments, these requirements are traditionally handled by separate, siloed GPU…