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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New AI model accurately grades messy handwritten math answers and explains student errors
A research team affiliated with UNIST has unveiled a novel AI system capable of grading and providing detailed feedback on even the most untidy handwritten math answers—much like a human instructor.
Tools for this?
What tools are used for these type of videos?I was thinking face fusion or some kind of face swap tool in stable diffusion.Could anybody help me? submitted by /u/vasthebus [link] [comments]
Train Your Large Model on Multiple GPUs with Pipeline Parallelism
This article is divided into six parts; they are: • Pipeline Parallelism Overview • Model Preparation for Pipeline Parallelism • Stage and Pipeline Schedule • Training Loop • Distributed Checkpointing • Limitations of Pipeline Parallelism Pipeline parallelism means creating the model as a pipeline of stages.
5 Python Libraries for Advanced Time Series Forecasting
Predicting the future has always been the holy grail of analytics.