Data Phoenix Digest - ISSUE 49 Paid Members Public
The series of webinars "The A-Z of Data" come back in July, MLOps in 10 minutes, best practices for deploying computer vision models, it is time to explore LCE, graph ordering attention networks, OnePose, Diffuser, Imagen, and more.
MLOps in 10 Minutes Paid Members Public
How MLOps helps across all stages of ML project
Nvidia announced the transformation of data centers into AI factories Paid Members Public
Nvidia reported a late series of hardware milestones and modernization to support advancing the company’s aspirations. The most important technology that will help implement Nvidia’s vision is the company’s Grace superchips. At Computex, Nvidia reported that various hardware vendors, including ASUS, Foxconn Industrial Internet, GIGABYTE, QCT, Supermicro
Improvements of OpenAI with a New DALL-E Model Paid Members Public
DALL-E 2 is a new model that can take complex enough prompts. It should comply and search for outputs which are likely to meet the user’s requirements out of multiple existing outputs. The most exciting part of this model is its leap towards a diffusion model, a type of
When Apple Made Him Go to the Office He Went to Google Paid Members Public
Ian Goodfellow, one and only one who oversaw machine learning and artificial intelligence at Apple, simply left the company a few weeks ago, because of the lack of flexibility in its office policies. Goodfellow’s decision to start working for Google is a coup for the DeepMind division, which puts
New Implementation of PyTorch Training for Mac Paid Members Public
After a new PyTorch v1.12 release, creators and researchers can now benefit from Apple’s silicon GPUs to enable an essentially faster model training. They gain the ability to implement machine learning workflows like modeling and fine-tuning locally, right on their Macs. The MPS backend develops the PyTorch framework,
Data Phoenix Digest - ISSUE 48 Paid Members Public
MLOps with SageMaker, introduction to the YOLO family, multi GPU model training, neural 3D scene reconstruction with the manhattan-world assumption, learning to answer questions from millions of narrated videos, ConvMAE, ARTEMIS, EasyNLP, and more.
Data Phoenix Digest - ISSUE 47 Paid Members Public
Kubeflow MLOps, a comprehensive list of strategies for feature selection, introducing PyScript, open pre-trained transformer language models, DeepNorm, NeurMiPs, Stanford CS224N NLP with Deep Learning, LAION-5B dataset, and more.