⚡️ 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

Attention AI enthusiasts! How many of you are interested in the sustainability topic?
ESGentle team is throwing a big party this Saturday and they're inviting all environmental enthusiasts, climate tech entrepreneurs, AI experts, investors, local artists, and wellness lovers to join them in Earth Day celebration. They'll have techno music, environmental talks and good vibes only ☺️ If you're down to grab a cocktail and mingle, please sign up here: https://lu.ma/1o1m79ms

BloombergGPT: A Large Language Model for Finance
BloombergGPT is a 50 billion parameter language model that is trained on a wide range of financial data. It is validated on standard LLM benchmarks, open financial benchmarks, and a suite of internal benchmarks that most accurately reflect our intended usage.
https://dataphoenix.info/bloomberggpt-a-large-language-model-for-finance/

[Article] DumBO: The simplest Bayesian optimizer
Learn the basic concepts of Bayesian optimization by building a simplistic optimizer.
https://dataphoenix.info/dumbo-the-simplest-bayesian-optimizer/

[News] OpenAI's Bug Bounty Program
OpenAI is doing an excellent job of partnering with security experts to ensure its systems are robust and secure.
https://dataphoenix.info/openais-bug-bounty-program/

[Event] MLOps Zoomcamp 2023 by DataTalks.Club
Join DataTalks.Club hands-on MLOps course and learn the must-know skills for the industry. The course will cover ML pipelines, experiment tracking, model deployment & monitoring, best practices, and more.
https://dataphoenix.info/mlops-zoomcamp-2023-by-datatalks-club/

[News] StableLM: Stability AI Language Models
With EleutherAI, a non-profit research hub, Stability AI had success in open-sourcing earlier language models, and their release of StableLM builds on that experience.
https://dataphoenix.info/stablelm-stability-ai-language-models/

📢 We are live and starting Data Phoenix webinar "Evaluating XGBoost for balanced and Imbalanced datasets" with Gissel Velarde (Senior Data Scientist at Vodafone). Join us: https://www.youtube.com/live/T1fNx947_GI

[News] dstack 0.8: Local Hub, Hugging Face integration, and more
The new release of dstack contains Local Hub, which gives you access to a dashboard, job queue handling, secure cloud credential management, and more. In addition, now you can run dstack Hub on Hugging Face in one click.
https://dataphoenix.info/dstack-0-8-local-hub-hugging-face-integration-and-more/

[News] Ray 2.4.0: Infrastructure for LLM training, tuning, inference, and serving
The new Ray release features various enhancements, including updates to Ray data, which include stability, observability, and ease of use.
https://dataphoenix.info/ray-2-4-0-infrastructure-for-llm-training-tuning-inference-and-serving/

[News] Google introduces PaLM 2
Google has introduced its next-generation large language model PaLM 2, which offers improved multilingual, reasoning, coding capabilities, and more.
https://dataphoenix.info/google-introduces-palm-2/

[Papers] Neural Preset for Color Style Transfer
Neural Preset is a technique that uses AI to generate and transfer color styles. It can extract color styles from given reference images, store them as presets, and apply them to other images and videos, producing output with target color styles. Check it out!
https://dataphoenix.info/neural-preset-for-color-style-transfer/