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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Latest Artificial Intelligence Content News
OpenAI introducing ads to ChatGPT
OpenAI announced Friday it will begin testing advertisements on ChatGPT in the coming weeks, as the wildly popular artificial intelligence chatbot seeks to increase revenue to cover its soaring costs.
The Beginner’s Guide to Computer Vision with Python
Computer vision is an area of artificial intelligence that gives computer systems the ability to analyze, interpret, and understand visual data, namely images and videos.
How the Amazon AMET Payments team accelerates test case generation with Strands Agents
At Amazon.ae, we serve approximately 10 million customers monthly across five countries in the Middle East and North Africa region—United Arab Emirates (UAE), Saudi Arabia, Egypt, Türkiye, and South Africa. Our AMET (Africa, Middle East, and Türkiye) Payments team manages payment selections, transactions, experiences, and affordability features across these diverse…
Introducing BigQuery managed and SQL-native inference for open models
BigQuery provides access to a variety of LLMs for text and embedding generation, including Google’s Gemini models, Google-managed models from partners like Anthropic and Mistral. Using Gemini models and Google-managed partner models in BigQuery is simple — just create the model with the foundation model name and run inference directly…