DiffusionDB is the first large-scale text-to-image prompt dataset. It contains 2 million images generated by Stable Diffusion using prompts and hyperparameters specified by real users.
https://bit.ly/3TuPKOS

​​⚡️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/3UMvwkP

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 & Business Economics and Course5i Chair Professor of Business Analytics and Machine Learning at Woxsen University
Language: English
Participation: free (but you’ll be required to register)
Karma perk: donate to our charity initiative
https://bit.ly/3X5toqa

📢 We are live and starting our charity webinar: "Natural Language Processing and Machine Learning in Healthcare”.
Join us: https://bit.ly/3g6VsZZ

Scaling Instruction-Finetuned Language Models
In this paper, authors explore instruction finetuning with a particular focus on scaling the number of tasks, scaling the model size, and finetuning on chain-of-thought data.
https://bit.ly/3hUF8vN

​​⚡️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/3Ok8jEs

ULNeFs solve multi-object interaction using implicit representations of the objects (e.g., multiple garments).
https://bit.ly/3TRDVmj

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 😉