ChatGPT- What? Why? And How?
This blog discusses ChatGPT, a pre-trained language model that has garnered significant attention in the AI community due to its innovative capabilities. It explores the technology behind ChatGPT, its purpose, function, and utilization, as well as its potential applications and impact on the field of artificial intelligence. This blog also covers the limitations of ChatGPT and its architecture and working, including the use of advanced machine learning techniques such as Transformer and fine-tuning.Training a Time-Series Forecasting Model Using Automated Machine Learning
Imagine having the power to predict the unpredictable, to foresee the future of your business, your health, or your environment. What if you could unlock the secrets of time itself? Welcome to the world of time-series forecasting, where machine learning meets magic. Join us to discover how Automated Machine Learning can revolutionize your understanding of the future and uncover the hidden patterns that shape our world. Read on to unlock the secrets of time, and unleash the power of prediction.Train a simple Recommendation Engine using the new Azure AI Studio
The AI Studio Odyssey: Embark on a journey to the heart of personalization with our latest guide, “Train a Simple Recommendation Engine using the new Azure AI Studio.” Unlock the secrets of the all-new Azure AI Studio intuitive tools to craft a recommendation system that feels like magic, yet is grounded in data and user preferences. Ready to enchant your audience? Grab some popcorn and read on!GPU compute within Windows Subsystem for Linux 2 supports AI and ML workloads
Adding GPU compute support to WSL has been our #1 most requested feature since the first release. Over the last few years, the WSL, Virtualization, DirectX, Windows Driver, Windows AI teams, and our silicon partners have been working hard to deliver this capability.Train a Simple Recommendation Engine using Azure Machine Learning Designer
“Unlock the Magic: Train Your AI Wizardry!” Dive into our guide on creating a recommendation engine with Azure Machine Learning Designer. Discover how to weave data spells, conjure personalized suggestions, and make your users feel like they’ve stumbled upon a digital fortune teller. Ready to enchant your audience? Read on!Microsoft Project15 & University of Oxford Capstone Project with Elephant Listening Project Team 3
What is the Project 15 Challenge? We have big problems to solve in this world and we are running out of time. It can be overwhelming to think about. But if we as a technical community and scientific community come together, we can do this. We must. To put it simply, the P15 Challenge is an attempt to get to scale on unlocking and unblocking unsolved use cases in conservation and sustainability. By putting the use cases “out there” for the open-source developer community and academic community to learn what they can help solve.Foundations of Data Science for Machine Learning EVERY TUESDAY, 2:00PM-3:30PM PST SEPT - NOV
EVERY TUESDAY, 2:00PM-3:30PM PST STARTING SEPTEMBER 14TH THROUGH NOVEMBER 9TH (9 EPISODES) Learn Live: Foundations of Data Science for Machine Learning Starting Tuesday, September 14, 2021 (PST), join Jason DeBoever and Glenn Stephens live on Learn TV and explore this nine-part “Foundations of data science for machine learning” series. Each week, we will be walking through Learn modules and answering your questions live. From basic classical machine learning models to exploratory data analysis and customizing architectures, you’ll be guided by easy to digest conceptual content and interactive Jupyter notebooks and will learn about the underlying concepts as well as how to get into building models with the most common machine learning tools.
