AI systems integrate and analyze vast amounts of data from wearables, video footage, and historical performance records. This comprehensive analysis provides a holistic view of an athlete's performance, identifying patterns and trends previously undetectable. Click on the link
MACHINE LEARNING
-
Transformer Explainer: Interactive Visualization Tool for Text-Generative Models
By
–
Transformer Explainer
— AK (@_akhaliq) 9 août 2024
Interactive Learning of Text-Generative Models
discuss: https://t.co/YPvsiqgEl2
Transformers have revolutionized machine learning, yet their inner workings remain opaque to many. We present Transformer Explainer, an interactive visualization tool designed… pic.twitter.com/nu0Fs4QI2KTransformer Explainer Interactive Learning of Text-Generative Models discuss: https://
huggingface.co/papers/2408.04
619
… Transformers have revolutionized machine learning, yet their inner workings remain opaque to many. We present Transformer Explainer, an interactive visualization tool designed -
Img-Diff: Contrastive Data Synthesis for Multimodal LLMs
By
–
Img-Diff Contrastive Data Synthesis for Multimodal Large Language Models discuss: https://
huggingface.co/papers/2408.04
594
… High-performance Multimodal Large Language Models (MLLMs) rely heavily on data quality. This study introduces a novel dataset named Img-Diff, designed to enhance -
LLM-DetectAIve: Tool for Machine-Generated Text Detection
By
–
LLM-DetectAIve a Tool for Fine-Grained Machine-Generated Text Detection discuss: https://
huggingface.co/papers/2408.04
284
… The widespread accessibility of large language models (LLMs) to the general public has significantly amplified the dissemination of machine-generated texts (MGTs). -
Sketch2Scene: Automatic 3D Game Scene Generation from Sketches
By
–
Sketch2Scene
— AK (@_akhaliq) 9 août 2024
Automatic Generation of Interactive 3D Game Scenes from User's Casual Sketches
discuss: https://t.co/yGe8bB95Do
3D Content Generation is at the heart of many computer graphics applications, including video gaming, film-making, virtual and augmented reality, etc.… pic.twitter.com/cfOw0Lo4BgSketch2Scene Automatic Generation of Interactive 3D Game Scenes from User's Casual Sketches discuss: https://
huggingface.co/papers/2408.04
567
… 3D Content Generation is at the heart of many computer graphics applications, including video gaming, film-making, virtual and augmented reality, etc. -
Instruction Back-and-Forth Translation for Better LLM Alignment
By
–
Better Alignment with Instruction Back-and-Forth Translation discuss: https://
huggingface.co/papers/2408.04
614
… We propose a new method, instruction back-and-forth translation, to construct high-quality synthetic data grounded in world knowledge for aligning large language models (LLMs). Given -
Task-oriented Sequential Grounding in 3D Scenes for Embodied AI
By
–
Task-oriented Sequential Grounding in 3D Scenes discuss: https://
huggingface.co/papers/2408.04
034
… Grounding natural language in physical 3D environments is essential for the advancement of embodied artificial intelligence. Current datasets and models for 3D visual grounding predominantly focus -
Puppet-Master: Interactive Video Generation for Part-Level Dynamics
By
–
Puppet-Master
— AK (@_akhaliq) 9 août 2024
Scaling Interactive Video Generation as a Motion Prior for Part-Level Dynamics
discuss: https://t.co/jT9HCpuNvM
We present Puppet-Master, an interactive video generative model that can serve as a motion prior for part-level dynamics. At test time, given a single… pic.twitter.com/kvhcX1KdSMPuppet-Master Scaling Interactive Generation as a Motion Prior for Part-Level Dynamics discuss: https://
huggingface.co/papers/2408.04
631
… We present Puppet-Master, an interactive video generative model that can serve as a motion prior for part-level dynamics. At test time, given a single -
Monitoring Land Use Changes with Google Earth Engine
By
–
InGARSS'23 Tutorial-1: Monitoring Land Use Land Cover Changes with GEE, by Ujaval Gandhi https://
bit.ly/4eQXwPj
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Noam Shazeer Joins Google DeepMind for Gemini AGI Research
By
–
Thrilled to welcome @NoamShazeer to @GoogleDeepMind (& back to @Google
)! Noam co-created the transformers architecture that underpins the modern AI industry, and is one of the most inventive researchers I know. Really excited to be working with you on Gemini and AGI!