random

Create Magic Story! Contribute to HVision-NKU/StoryDiffusion development by creating an account on GitHub.

OpenAI has launched GPT-4o, a new AI model that integrates multimodal reasoning across text, audio, and visual inputs. This model is available for free to all ChatGPT users and boasts improved vision capabilities and real-time translation capabilities. The announcement was made via a livestream, showcasing the model's ability to translate languages in real-time. GPT-4o is also noted for being faster, more affordable, and capable of higher rate limits compared to its predecessor, GPT-4 Turbo. The model is currently available for text and vision inputs, with audio and video capabilities expected to be added soon. This development has sparked a range of reactions, from excitement about the advancements in AI technology to concerns about the ethical implications of such rapid progress.

Understand the "Database 'xyz' exceeds the maximum size limit on disk" error

Users orchestrate their data engineering or data science processes using notebooks and in most of the enterprise scenarios pipelines and job schedulers are used as a primary option to schedule and trigger these Spark jobs. We are thrilled to announce a new feature Job Queueing for Notebook Jobs in Microsoft Fabric. This feature aims to … Continue reading “Introducing Job Queueing for Notebook in Microsoft Fabric”

IntroductionWhat are User Input tables?User Input Table SuggestionsConclusion Introduction While learning about Power BI, you are likely to learn that designing a star schema consisting of fact and…

This article is solely about one question: what has to be done if a content creator needs to create and publish Power BI reports, but the content creator is not allowed to see all the data from the semantic model?

How partialBatch breaks a Power BI model refresh down into separate steps

If you’re scheduling a meeting, you’re spending your own time and the time of everyone you invite. Show professionalism and respect by providing a clear agenda for the meeting in the invitation. Me…

In this article, I share some unfiltered thoughts about why it’s unrealistic to expect one person to know everything in Fabric, and concerns I have about unrealistic expectations being put in the market regarding Fabric.

In my classes, I give students an assignment—find a dashboard from the dashboard gallery and write a review of it.

PART 3: Web 2. 0 — The rise of user-generated content and interactivity, approx

We are excited to announce a new feature which has been a long ask from Synapse Spark customers, Optimistic Job Admission for Spark in Microsoft Fabric.This feature brings in more flexibility to optimize for concurrency usage (in some cases ~12X increase) and prevents job starvation. This job admission approach aims to reduce the frequency of … <p class="link-more"><a href="https://blog.fabric.microsoft.com/en-us/blog/introducing-optimistic-job-admission-for-fabric-spark/" class="more-link">Continue reading<span class="screen-reader-text"> “Introducing Optimistic Job Admission for Fabric Spark”</span></a>

Digital media content creators have an ethical responsibility to journalistic integrity. All of them do; all of us… including myself. At the last few inte

This article describes how to compare time series that occur in different periods by standardizing the timelines to days since a specific event. In a previo

At the recent Fabric Conference, we announced that both code-first automated machine learning (AutoML) and hyperparameter tuning are now in Public Preview, a key step in making machine learning more complete and widely accessible in the Fabric Data Science. Our system seamlessly integrates the open-source Fast Library for Automated Machine Learning & Tuning (FLAML), offering … <p class="link-more"><a href="https://blog.fabric.microsoft.com/en-us/blog/introducing-code-first-automl-and-hyperparameter-tuning-now-in-public-preview-for-fabric-data-science/" class="more-link">Continue reading<span class="screen-reader-text"> “Introducing Code-First AutoML and Hyperparameter Tuning: Now in Public Preview for Fabric Data Science”</span></a>

It is critical to see how much storage is being used in your Lakehouse's in Microsoft Fabric, in this blog post I show you how I got these details.

What is Delta Lake table structure in Microsoft Fabric, and how it is different from Parquet, what is the benefits, learn it all here.

The future of interactive data visualization, predictions from 2024 onward Interactive data visualization is an essential component in the current state of...

In the realm of Power BI Dataflow, we’re accustomed to the richness of functionality and the ease with which these functionalities can transform data. But what about Copilot? Can it help us n…

This blog walks through Power BI Dataflows are and provides a comprehensive guide on how to use and set them up effectively.

This article describes the best practices for deciding when to use (and when not to use) KEEPFILTERS in CALCULATE filter arguments. In the article Using KEE

Microsoft Fabric provides various options for data ingestion, each with its own strengths and use cases. Understanding which option to use and when can significantly impact your data workflow effic…

These days every company is a data company. More specifically, every company has data that can provide added value to someone else. And even more to the point, data sharing has become a common and essential practice for many organizations. Whether it is sharing data with suppliers, customers, partners, or consultants, data sharing enables better … <p class="link-more"><a href="https://blog.fabric.microsoft.com/en-us/blog/introducing-external-data-sharing-a-new-way-to-collaborate-across-fabric-tenants/" class="more-link">Continue reading<span class="screen-reader-text"> “Introducing external data sharing: a new way to collaborate across Fabric tenants”</span></a>

Dashboard design elements There are five important elements to consider in the design phase for building great data visualizations.

DESCRIPTION 📄 Understanding business reality, identifying risks, and assessing future trends requires a comprehensive view including comparisons and context. We rarely find the level of information density needed for such a comprehensive view in today’s dashboards. A key reason is the lack of visu

In the dynamic realm of analytics, understanding the distinct roles within the data analytics field is crucial for leveraging data effectively. Whether