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
[Sad] Zelda & Link don’t want to be toys anymore / MiniMax H3 Video
I know people aren’t posting their videos made with MiniMax H3 anymore… Which is really sad, but I wanted to share mine still! I made a lot of upgrades to my usual workflow and added some gaussian blur to the live action scenes along with film grain (all using KDEnlive)…
Building a Custom LLM Evaluation Harness in Python from Scratch
In this article, you will learn how to build a custom LLM evaluation harness in Python from scratch, structured around four modular components that give…
The Design Space of Tri-Modal Masked Diffusion Models
Discrete diffusion models have emerged as strong alternatives to autoregressive language models, with recent work initializing and finetuning a base unimodal model for bi-modal generation. Diverging from previous approaches, we introduce the first tri-modal Masked Diffusion Models (MDM) pretrained from scratch on text, image-text, and audio-text data. We systematically analyze…
Integrating Netflix’s Foundation Model into Personalization applications
Authors: Divya Gadde, Ko-Jen Hsiao, Dhaval Patel and Moumita Bhattacharya The motivation for building the Netflix Foundation Model for personalization was laid out in this previous blog post. The Netflix homepage is powered by several specialized models and it requires significant time and resources to maintain and continue innovating on…