Bringing GitOps to ML with dstack.
In this article, the authors summarize ideas around GitOps and ML they are working on in the dstack, which helps teams define ML workflow, run them in a configured cloud, and collaborate around artifacts.
https://bit.ly/3U5jXnZ

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
Participation: free (but you’ll be required to register)
Karma perk: donate to our charity initiative
https://bit.ly/3EJBzjL

“You Can’t Predict the Errors of Your Model”… Or Can You?
In this article, the author explores the Direct Loss Estimation(DLE) method that estimates the performance of any regression model when the ground truth is unavailable, tries it on a real dataset, and shows if it performs well as #NannyML promises.
https://bit.ly/3u7CBRE

📢 We are live and starting our charity webinar: "dstack – a command-line utility to provision infrastructure for ML workflows”.
Join us: https://bit.ly/3u8Sl7b

Data Phoenix team invites you all to our upcoming "The A-Z of Data" charity webinar that’s going to take place on December 21, 2022 at 16.00 CET.
Topic: Vertex AI Pipelines infrastructure with Terraform
Speaker: Alona Slastin, ML Engineer at SoftServe
Participation: free (but you’ll be required to register)
Karma perk: donate to our charity initiative
https://bit.ly/3VYOqWp

⚡️Hello friends!
DataPhoenix presented the new issue of the digest! And it is already waiting for you on our website! Tap on the link and feel free to subscribe👇🏻
https://bit.ly/3hbeWNx

⚡️Hello friends!
DataPhoenix presented the new issue of the digest! And it is already waiting for you on our website! Tap on the link and feel free to subscribe👇🏻
https://bit.ly/3W8SPq0

📢 We are live and starting our charity webinar: "Vertex AI Pipelines infrastructure with Terraform”.
Join us: https://bit.ly/3YIAkKI

⚡️Hello friends!
DataPhoenix presented the new issue of the digest! And it is already waiting for you on our website! Tap on the link and feel free to subscribe👇🏻
https://bit.ly/3PRCTq0

⚡️Hello friends!
DataPhoenix presented the new issue of the digest! And it is already waiting for you on our website! Tap on the link and feel free to subscribe👇🏻
https://bit.ly/3ZrJb40

⚡️ #DataPhoenix presented the new issue of the #digest!
Video recording of our webinar about dstack and reproducible ML workflows, AVL binary tree operations, Ultralytics YOLOv8, training XGBoost, productionize ML models, introduction to forecasting ensembles, domain expansion of image generators, Muse, X-Decoder, Box2Mask, RoDynRF, AgileAvatar and more.
https://bit.ly/3j9q3HI

⚡️ DataPhoenix presented the new issue of the digest!
Video recording of our webinar about synthetic data and how they help to enable responsible innovation by Shalini Kurapati, let's build GPT, best collaboration practices from 4 ML teams, self-serve feature platforms, DreamerV3, YOLOv6 v3.0, GLIGEN, HyperReel, StyleGAN-T, books, and more.
https://bit.ly/40CdSnM

Всім привіт! Планую зробити серію невеличких вебінарів, на яких планую поговорити на різні теми пов’язані з MLOps: керування ML інфраструктурою за допомогою terraform та Scalr; K8s для ML; MLOps тулзи у 2023. Якщо є побажання, про що ви хотіли б послухати, пишіть у коментарях, буду вдячним за ваші ідеї 😉

Take part in the new Developer Nation survey and shape the ecosystem! For every survey response, Developer Nation will donate to one of the charities of respondents’ choosing. Hurry up, the survey is open until February 12! Start here - https://bit.ly/SlashDataSurvey

⚡️ DataPhoenix presented the new issue of the digest!
Video recording of our webinar about deploying ML models, guide to the YOLO family, discover the 4 magical methods to detect AI-generated text, BentoML vs. FastAPI, Temporal Graph Learning, exploring MLflow experiments, watermark for Large Language Models, EPiC-GAN, Tracr, Msanii, news, and more.
https://dataphoenix.info/data-phoenix-digest-issue-4-2023/

⚡️ DataPhoenix presented the new issue of the digest!
Special event "Startup’s Guide to Success in Central and Eastern Europe" at NVIDIA GTC, scaling media ML at Netflix, how to transform time series for DL, time series forecasting with DL in PyTorch, Megane, OmniObject3D, LEGO-Net, Offsite-Tuning, news, and more.
https://dataphoenix.info/data-phoenix-digest-issue-5-2023/

Data Phoenix team invites you all to our upcoming «AI Project Spotlight» webinar that’s going to take place on April 3, 2022 at 16.00 CET.
 — Topic: «Making AI Easy with YOLOv8»
 — Speaker: Glenn Jocher, founder & CEO of Ultralytics
 — Participation: free (but you’ll be required to register)
https://bit.ly/3JTHtCw

📢 We are live and starting Data Phoenix webinar: "Making AI Easy with YOLOv8” with Glenn Jocher (Founder & CEO of Ultralytics). Join us: https://youtube.com/live/OMGSQdSoGlw?feature=live

Webinar "Introduction to Graph Neural Networks"
Date: April 6 at 16.00 CET
Speaker: Ekaterina Sirazitdinova, Senior Data Scientist at NVIDIA
Graph Neural Networks (GNNs) are AI models designed to derive insights from unstructured data described by graphs. For different segments and industries, GNNs find suitable applications such as molecular analysis, drug discovery, prediction of developments in stock market, thermodynamics analysis, and even modelling of human brain. Unlike conventional CNNs, GNNs address the challenge of working with data in irregular domains. In this talk, I will provide an introductory overview of the theory behind GNNs, take a closer look at the types of problems that GNNs are well suited for, and discuss several approaches to model unstructured problems as classification or regression at various levels.
Registration link: https://www.eventbrite.com/e/webinar-introduction-to-graph-neural-networks-tickets-578344823937

📢 We are live and starting Data Phoenix webinar "Introduction to Graph Neural Networks" Ekaterina Sirazitdinova (Senior Data Scientist at NVIDIA). Join us: https://youtube.com/live/6jRGIGulQWs