Did you know you can use Tabular Editor with Fabric to build advanced Power BI semantic models? Find out some of the advantages that this approach can give you.
Read MoreThanks for reading. Here you will find a huge range of information in text, audio and video on topics such as Data Science, Data Engineering, Machine Learning Engineering, DataOps and much more. The show notes for “Data Science in Production” are also collated here.
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AI was the very first thing mentioned in Satya Nadella’s opening keynote of Microsoft Ignite 2023, dominating over 50% of the sessions, and with Gen-AI at its peak, that has been no surprise. In this blog, we will highlight some of our favourite announcements on Azure AI Platforms.
The shift to the cloud has revolutionised the way data scientists work where the cloud has opened up a whole host of machine learning tools, pushing the capabilities of machine learning. One of the most popular tools is none other than the famous Databricks.
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Last week was Microsoft’s Ignite conference hosted in Seattle and we were on the edge of our seats for some highly anticipated announcements. Here’s mine and Johnny’s round up of the Fabric announcements.
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As the potential of Generative AI and Large Language (LLM) models continue to grow at a frightening pace, it can be hard to know where to get started and get your head around all the tools needed for a successful LLM project! One key tool in any successful implementation is a vector database.
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How Intel technology stack improved model training in Advancing Analytics' custom solution for the financial sector.
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Retrieval Augmented Generation (RAG) is a framework that provides a more accurate and reliable solution for generating content and interacting with users. RAG addresses the limitations of large language models (LLMs) and helps businesses struggling to generate relevant and accurate content while maintaining credibility and transparency in their interactions with customers.
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Azure's PromptFlow is a cutting-edge tool within the Azure ML suite designed to enhance the development and deployment of Large Language Model (LLM) applications. It offers an intuitive interface for prompt engineering, real-time testing, and evaluation, ensuring prompts are optimized for accuracy and relevance.
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Meet your new favourite action hero, Data Activator. It’s the newest experience to be added to Microsoft’s unified Software-as-a-Service (SaaS) platform Fabric, having been made available in the public preview at the beginning of October. But what is it? What does it do? How can you use it?
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In the world of Agile and Scrum, chasing perfection is a futile endeavour. Instead, Sprint Planning should focus on achieving 'good enough,' a practical and attainable standard. It's about transparent communication, meaningful discussions, and setting clear expectations to deliver value, with the flexibility to iterate and adapt for continuous improvement.
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Managing costs in Azure OpenAI is crucial, especially with its pay-as-you-go model based on tokens. This blog looks at tools which can help maintain a balance between innovation and cost-efficiency.
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Is your Data Demoralized? What even is Data Demoralization? Is there a way to lift your data’s morale? Read on to find out more…
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We’re pleased to announce that Advancing Analytics and our Data Lakehouse Accelerator, Hydr8, are now part of Databricks’ brand new Brickbuilder Accelerators program.
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This blog discusses an AI-driven system that uses large language models (LLMs) to empower employees by identifying skill gaps and creating personalized learning paths. The system acts as a personal career coach, providing tailored feedback and growth opportunities.
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Fabric wouldn’t be an end-to-end data analytics platform without data science, so in this blog we will explore that data science and machine learning capabilities of Microsoft Fabric and assess where the platform fits in the completive data science landscape.
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Have you ever wondered about the people behind Databricks’ products and tools? What vision they had for each one? What customer challenges they want to tackle next? Well this is your chance to ask those questions directly! Introducing Ask Databricks - the all-new webinar series we’re hosting!
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