Jupyter Notebooks in Visual Studio Code
Visual Studio Code offers many great features for Data Scientists and Python developers alike, allowing you to explore and experiment on your data using the flexibility of Jupyter Notebooks combined with the power and productivity of VS Code. Tune in to learn how to supercharge your Jupyter Notebooks with VS Code.Responsible Synthetic Data Creation for Fine-Tuning with RAFT Distillation
This blog will explore the process of crafting responsible synthetic data, evaluating it, and using it for fine-tuning models. We’ll also dive into Azure AI’s RAFT distillation recipe, a novel approach to generating synthetic datasets using Meta’s Llama 3.1 model and UC Berkeley’s Gorilla project.Evaluating Language Models with Azure AI Studio: A Step-by-Step Guide
Evaluating language models is a crucial step in achieving this goal. By assessing the performance of language models, we can identify areas of improvement, optimize their performance, and ensure that they are reliable and accurate. However, evaluating language models can be a challenging task, requiring significant expertise and resources.#14DaysOfData Science: A Developer Tools & AI Workshop
Welcome to the final post in our 3-part series celebrating #DataScienceDay with our #14DaysOfDataScience content to help you make the Leap into Data Science. Our first post covered Week 1 of your journey with a look at Data Fundamentals. And the second post celebrated Data Science Day with a full schedule of talks from community and Microsoft experts - including my talk on simplifying data analysis with developer tools and AI. Which sets us up perfectly for the second leg of that journey with a focus on Developer Tools & AI. Let's dive in and learn how you can go from understanding the data science lifecycle, to streamlining your development journey with a goal-oriented learning focus.Python Data Science Day 2024: Unleashing the Power of Python in Data Analysis
We’re excited to share that the Python Data Science Day is set to take place on March 14th, 2024, aligning with the mathematical constant Pi Day (3.14). This event is a fantastic opportunity for Python developers, entrepreneurs, data scientists, students, and researchers to come together and explore modern solutions for data pipelines and complex queries.
