Y es que a diferencia de Stable Diffusion, DALL-E, Midjourney e Imagen, este modelo no usa las modernas arquitecturas de Diffusion. Sino que recupera la tendencia de 2021: los Transformers y las VQGAN. ¿Y eso qué es…? Pues aquí te lo explico
RESEARCH
-
Muse generates images 3x faster than Stable Diffusion
By
–
Por último, otra cualidad más de Muse es que es MÁS RÁPIDO que sus otros compañeros, logrando generar imágenes ~3 veces más rápido que Stable Diffusion y entre 8-10 veces más rápido que su hermano mayor, Imagen.
-
AI Solves 10 International Math Olympiad Problems with HyperTree Method
By
–
Using our HyperTree Proof Search method we created a neural theorem solver that was able to solve 10 International Math Olympiad problems — 5x any previous AI system. More in this post ➡️ https://t.co/dec9VeJhny pic.twitter.com/rns9IffWqx
— AI at Meta (@AIatMeta) 3 janvier 2023Using our HyperTree Proof Search method we created a neural theorem solver that was able to solve 10 International Math Olympiad problems — 5x any previous AI system. More in this post https://
bit.ly/3vBnu3E -
MAML Meta-Learning and Software Architecture Design Principles
By
–
reminds me of MAML meta-learning (
https://
arxiv.org/abs/1703.03400) where the objective is to find weights of a network such that any new task finetunes fast. In Software 1.0 land, equivalent is writing code such that any new desired functionality is simple and doesn't need a refactor. -
AI Experimentation: Exploring Unexplored Possibilities
By
–
Because it's so easy to try new things, it lends itself to experimentation. Discovering these little unexplored possibilities is one of my favorite aspects of AI as it exists today.
-
2023 AI Predictions: GPU Demand Soars with Generative AI Growth
By
–
What does 2023 have in store for AI? Our CEO Nick Elprin predicts GPU demand will soar as more deep learning apps emerge to cure disease. @NVIDIAAI
's Manuvir Das concurs that new generative AI realities will do the same. @VentureBeat has the full takes: https://
domino.buzz/3CfEKz5 -
Analyze Text Style Voice and Tone with NLP Prompting
By
–
/Example prompt/ Analyze the text below for style, voice, and tone. Using NLP, create a prompt to write a new article in the same style, voice, and tone: (Insert your text here)
-
OpenAI Staff Discuss AI Model Tuning and Unforeseen Improvements
By
–
OpenAI staff have told me that they didn’t specifically tune on these questions and I believe them. The improvements are seen even for newly made-up problems in the same style.
-
YOLOv5 Instance Segmentation: Elevate Your Object Detection Projects
By
–
🚀Blog-tastic Tuesdays🚀
— Satya Mallick (@LearnOpenCV) 3 janvier 2023
Take your YOLOv5 object detection projects to the next level.📈 With the new instance segmentation architectures, YOLOv5 now supports both segmentation and detection of objects.
To learn more, head over to https://t.co/XPIV4nt5ur #yolov5 #opencv #ai pic.twitter.com/mU1lHrt7m7Blog-tastic Tuesdays Take your YOLOv5 object detection projects to the next level. With the new instance segmentation architectures, YOLOv5 now supports both segmentation and detection of objects. To learn more, head over to https://
learnopencv.com/yolov5-instanc
e-segmentation/
… #yolov5 #opencv #ai -
Submissions vs Papers: Research Collaboration and Student Impact
By
–
To be clear, 14 submissions neq 14 papers, since some are resubmissions. I of course can't know absolutely everything about every paper, e.g., I don't read every line of code. It's hard to say whether great students or collaborators are more important, I'm blessed w both.