Webinar "Unlocking Data Value with Large Language Models"
This talk will discuss how businesses can leverage Foundation Models using Prompt Engineering and build Generative AI applications in the cloud.
Data Phoenix Digest - ISSUE 8.2023
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.
Data Phoenix Digest - ISSUE 7.2023
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.
Why you should move to a Lakehouse
Learn about the Databricks Lakehouse Platform, unifying data lakes and warehouses for reliable, governed, and flexible data solutions.
Data Phoenix Digest - ISSUE 6.2023
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.
3rd International Conference on Artificial Intelligence and Knowledge Processing (AIKP'23)
School of Business, Woxsen University in collaboration with University of St. Thomas, MN, USA is organizing 3rd International Conference on Artificial Intelligence and Knowledge Processing - AIKP'23 (Scopus Indexed Conference) on 6th to 8th October 2023.
Evaluating XGBoost for balanced and Imbalanced datasets
The talk will introduce XGBoost, and provide examples of evaluation metrics for ML models in fraud and risk-scoring applications.
Pop-up Climate Party at Monarch Gardens
The ESGentle team is throwing a big party this Saturday. They're inviting all environmental enthusiasts, climate tech entrepreneurs, AI experts, and investors to join them in the Earth Day celebration and explore the intersection of artificial intelligence and climate change.
Webinar "Evaluating XGBoost for balanced and Imbalanced datasets"
The talk will introduce XGBoost and demonstrate how efficient machine learning models can automatically detect fraud cases depending on the data used.
Introduction to Graph Neural Networks
In this talk, you will learn the theory behind GNNs, and look closely at the types of problems for which GNNs are well suited.
dstack - Backend Engineer - Remote (vacancy inactive)
At dstack, our vision is to build an open-source platform for ML teams to train models and collaborate on data and models. We are currently seeking a backend engineer to join our team and assist in building the core of our platform.
Making AI Easy with YOLOv8
You will learn about Ultralytics YOLOv8, how it works, how it compares to previous YOLO models and more.