Data Phoenix Digest is a collection of the best and latest articles, papers, courses, interviews, podcasts, videos, datasets, events, books, and jobs on Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Science, Robotics and other aspects of Artificial Intelligence.
Upcoming webinars and video records of our past events, how you can evaluate your ML model, how to build ML pipeline, using activation functions in DL models, monitoring Time Series model, DragGAN, BloombergGPT, HuaTuo, SAM, reproducible DL course, and more.
Upcoming webinars about unlocking data value with LLM and reducing NLP Inference costs, testing ML models for production, how to train your own LLM, 3D generation on ImageNet, universal guidance for diffusion models, CompressGPT, FriendlyCore, S-NeRF, QA4RE, and more.
Upcoming webinars about unlocking data value with LLM and reducing NLP Inference costs, testing ML models for production, how to train your own LLM, CompressGPT, FriendlyCore, 3D generation on ImageNet, guidance for diffusion models, S-NeRF, QA4RE, and more.
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.
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.
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.
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.
Building a GitOps ML model registry with DVC and GTO, 10 metrics to evaluate supervised ML models, scaling ML model development with MLflow, ChatGPT and DALL·E 2 in a panel app, scalable diffusion models with transformers, NeRF-Art, ECON, InstantAvatar, DifFace, TextBox 2.0, ClimateNeRF, and more.
AI image generator, data versioning for ML in Airflow, the illustrated stable diffusion, into the transformer, building Airbnb categories with ML and Human-in-the-Loop, novel view synthesis with diffusion models, RANA, UDE, 3DHumanGAN, courses, books, and more.
Webinar "Vertex AI Pipelines infrastructure with Terraform", data version control with DVC and Git, the 5 stages of ML validation, 10 quick pandas tricks, InstructPix2Pix, DAMO-YOLO, ReFace, DiffusionInst, DiffusionBERT, and more.
Webinar "Vertex AI Pipelines infrastructure with Terraform", bringing GitOps to ML with dstack, “You Can’t Predict the Errors of Your Model”… Or Can You?, time series analysis introduction, DeepAR, DiffusionDet, Galactica, Versatile Diffusion, CodeGen, and more.
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.