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.
Data Phoenix's upcoming webinars about Large Language Models and MLOps, using MLflow AI Gateway and Llama 2 to build Generative AI apps, building a modern ML platform with Ray, tracking anything with decoupled video segmentation, LERF, TADA, courses, and more.
Gorilla: LLM connected with massive APIs, lessons learned from building a managed RAG solution, LLM monitoring and observability, fine-tuning Llama 2, building LLM applications for production, framework for autonomous language agents, LEDITS, RT-2, DragDiffusion, ConsistentNeRF, MagicEdit, and more.
Best practices for building LLM-based applications, pandas for time series, use Stable Diffusion XL with Amazon SageMaker JumpStart, training Diffusion models with Reinforcement Learning, AI / ML / LLM / Transformer models timeline and list, GigaGAN, FABRIC, AnimateDiff, AutoRecon, and more.
Webinar "LlamaIndex: How to use LLMs to Interface with Multiple Data Sources", running Llama 2 on CPU inference locally for document Q&A, different ways of training LLMs, LangChain + Streamlit + Llama, Animate-A-Story, DS-Fusion, CoTracker, OpenAssistant Conversations, Zip-NeRF, and more.
New AI events calendar, webinars (multilingual semantic search, rise in the use of synthetic data for regulated industries, LlamaIndex: how to use LLMs to Interface with multiple data sources), accelerating stable diffusion Inference, introduction to mypy, Llama 2, MIS-FM, LLaMA-Adapter, and more.
Upcoming Data Phoenix community webinars: LLM evaluations, multilingual semantic search, rise in the use of synthetic data for regulated industries, how to use LLMs to interface with multiple data sources, best practices for building LLM-based applications, leveraging LLMs for enterprise usage.
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.