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
Light-tunable polarization sensor could sharpen self-driving cars and medical scans
A technology that surpasses the limitations of existing sensors, which fail to distinguish between water and asphalt on dark roads, has emerged to enhance the accuracy of autonomous driving and medical diagnostics. A research team has developed a next-generation polarization sensor that can read the direction of light and change…
Future of AI image generators
Listen. I honestly don’t know whether this is just coincidence, a deliberate decision, or simply people overreacting and complaining too much instead of pointing out an obvious problem. Interpret this post however how you like and say whatever you want about it. But how is it that back in 2024…
Implementing Prompt Compression to Reduce Agentic Loop Costs
Agentic loops in production can be synonymous with high costs, especially when it comes to both LLM and external application usage via APIs, where billing is often closely related to token usage.
Building web search-enabled agents with Strands and Exa
This post is co written by Ishan Goswami and Nitya Sridhar from Exa. If you are building web search-enabled AI agents for research, fact-checking, or competitive intelligence, access to current and reliable information is critical. Most general-purpose search APIs are not designed for agent workflows. They return HTML-heavy pages and…