Bringing GitOps to ML with dstack Paid Members Public
GitOps is a DevOps paradigm that helps teams ship software more quickly by applying things like version control, collaboration, compliance, and CI/CD. In ML, GitOps is still at the trial stage and isn’t adopted at scale yet. This post sums up some of the ideas around GitOps and
Charity AI webinar "dstack – a command-line utility to provision infrastructure for ML workflows" Paid Members Public
Data Phoenix team invites you all to our upcoming "AI Project Spotlight" charity webinar that’s going to take place on November 30, 2022 at 16.00 CET. * Topic: “dstack – a command-line utility to provision infrastructure for ML workflows”. * Speaker: Andrey Cheptsov, CEO and Founder of dstack.ai * Language: English
“You Can’t Predict the Errors of Your Model”… Or Can You? Paid Members Public
NannyML has released DLE, an algorithm able to predict the MAE and the MSE of your regression model, in the absence of the ground truth In a previous article, we have seen how to predict the performance of your classification model, before the ground truth is available. This is super
ULNeF: Untangled Layered Neural Fields for Mix-and-Match Virtual Try-On Paid Members Public
Recent advances in neural models have shown excellent results for virtual fitting tasks (VTO), where a 3D representation of a garment is deformed to fit the target body shape. However, existing solutions are limited to a single layer of clothing and cannot solve the combinatorial complexity of mixing different types
Data Phoenix Digest - ISSUE 59 Paid Members Public
Efficiently scaling transformer inference, MLOps pipeline with GitLab in minutes, monitoring ML models with Vertex AI, scaling instruction-finetuned language models, Colossal-AI, InternImage, AnimeRun, PhaseAug, and more.
Scaling Instruction-Finetuned Language Models Paid Members Public
An important goal of artificial intelligence is to develop language models capable of generalizing data in the form of instructions to solve complex problems. Finalizing language models on a set of data formulated as instructions improves model performance and generalization to unseen tasks. Google has presented its work to promote
Charity AI webinar "Natural Language Processing (NLP) and Machine Learning in Healthcare" Paid Members Public
Data Phoenix team invites you all to our upcoming "The A-Z of Data" charity webinar that’s going to take place on November 16, 2022 at 16.00 CET. * Topic: “Natural Language Processing (NLP) and Machine Learning in Healthcare”. * Speaker: Dr. Hemachandran Kannan, Zita Zoltay Paprika Professor of Decision Sciences
Data Phoenix Digest - ISSUE 58 Paid Members Public
Webinar "dstack – a command-line utility to provision infrastructure for ML workflows", a unified benchmark for mathematical reasoning, fine-tuning language models via epistemic neural networks, how Uber optimizes the timing of push notifications using ML, news, and more.
