Analytics Vidhya
MAY 1, 2024
Unlike traditional text embedding models, Gecko takes a whole new approach by distilling knowledge from large language models (LLMs). Let’s learn more about how this AI model was developed and what it means for the […] The post Google Launches Gecko Redefining Text Embedding Models appeared first on Analytics Vidhya.
Analytics Vidhya
MAY 1, 2024
Introduction The Phi model from Microsoft has been at the forefront of many open-source Large Language Models. Phi architecture has led to all the popular small open-source models that we see today which include TPhixtral, Phi-DPO, and others.
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Analytics Vidhya
APRIL 26, 2024
SenseTime, a leading AI company based in China, has launched its latest model, SenseNova 5.0, This new model has been shown to outperform many powerful large language models, including GPT-4 Turbo. appeared first on Analytics Vidhya. marking a significant advancement in artificial intelligence.
Analytics Vidhya
APRIL 18, 2024
Meta has unveiled its much-awaited Llama 3 model, marking a significant milestone in the field of open-source large language models (LLMs). This new model sets a new standard for LLMs with enhanced capabilities and a commitment to responsible development.
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Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. But today, dashboards and visualizations have become table stakes.
Analytics Vidhya
APRIL 21, 2024
Mixtral 8x22B by Mistral AI Crushes Benchmarks in 4+ Languages The post Mistral’s New Model Crushes Benchmarks in 4+ Languages appeared first on Analytics Vidhya.
Analytics Vidhya
APRIL 24, 2024
Introduction In the world of machine learning, the trend toward smaller, more efficient models has grown significantly. These compact models are crucial for developers and researchers who need to run applications locally on devices with limited resources.
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Download this guide for practical advice on using a semantic layer to improve data literacy and scale self-service analytics. The guide includes a checklist, an assessment, industry-specific use cases, and a data & analytics maturity model and roadmap.
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This report explores how the state of supply chain network design has changed – including how the tools, maturity models, and market demands are transforming the network design practice. Advanced analytics & Scenario Modeling. This report is useful if you are interested in: Exploring new network design insights and capabilities.
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How to enable data teams to model and deliver a semantic layer on data in the cloud. Read this guide to learn: How to make better, faster, and smarter data-driven decisions at scale using a semantic layer. How a semantic layer delivers massive ROI with streamlined query performance, concurrency, cost management, and ease of use.
Speaker: Speakers from SafeGraph, Facteus, AWS Data Exchange, SimilarWeb, and AtScale
Data and analytics leaders across industries can benefit from leveraging multiple types of diverse external data for making smarter business decisions. Data and analytics specialists from AWS Data Exchange and AtScale will walk through exactly how to blend and operationalize these diverse data external and internal sources.
Speaker: Megan Brown, Director, Data Literacy at Starbucks; Mariska Veenhof-Bulten, Business Intelligence Lead at bol.com; and Jennifer Wheeler, Director, IT Data and Analytics at Cardinal Health
Join data & analytics leaders from Starbucks, Cardinal Health, and bol.com for a webinar panel discussion on scaling data literacy skills across your organization with a clear strategy, a pragmatic roadmap, and executive buy-in. Best practices, pitfalls, practical first steps and models to scale adoption and continuously improve.
Speaker: Dave Mariani, Co-founder & Chief Technology Officer, AtScale; Bob Kelly, Director of Education and Enablement, AtScale
Check out this new instructor-led training workshop series to help advance your organization's data & analytics maturity. Given how data changes fast, there’s a clear need for a measuring stick for data and analytics maturity. Using data models to create a single source of truth. Combining data integration styles. Sign up now!
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For decades, operations research professionals have been applying mathematical optimization to address challenges in the field of supply chain planning, manufacturing, energy modeling, and logistics. Want to find out where optimization falls in the broader AI and business analytics spectrum.
Speaker: Nik Gowing, Brenda Laurel, Sheridan Tatsuno, Archie Kasnet, and Bruce Armstrong Taylor
This conversation considers how today's AI-enabled simulation media, such as AR/VR, can be effectively applied to accelerate learning, understanding, training, and solutions-modeling to sustainability planning and design.
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