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.
Images Created by AI
Latest Artificial Intelligence Content News
Measuring Performance of Transformer Inference
This chapter is divided into eight parts; they are: • Metrics for LLM Inference • Measuring a Single Request • Warmup and Synchronization • Measuring GPU Work with CUDA Events • Measuring Memory Usage • Measuring Concurrent Requests • Multiple GPUs and Multiple Machines • Cost per Token The most…
Static vs. Dynamic vs. Continuous Batching in LLM Inference
In this article, you will learn how static, dynamic, and continuous batching work in LLM inference, and why the differences between them matter at production…
Introducing Web Search on Amazon Bedrock for foundation model grounding
When a foundation model needs to answer a question about last week’s earnings call, yesterday’s regulatory change, or this morning’s weather forecast, it needs knowledge it was never trained on. Grounding the model in current web knowledge closes that gap – whether it’s powering chatbots, coding assistants, CLI tools, or…
How Deutsche Bank unlocked agility with an API-ready ecosystem
When people think about digital transformation in banking, they often focus on the visible results: mobile apps and new digital services. But there’s an invisible infrastructure making all these services possible: APIs. At Deutsche Bank, we recognized that APIs aren’t just technical plumbing; they’re the nervous system of modern banking. …