Modeling Related Topics 
Analytics Vidhya
SEPTEMBER 4, 2024
This natural process of diffusion, where particles move from areas of high concentration to low concentration, is the inspiration behind diffusion models in machine learning. Just as the […] The post What are Diffusion Models? appeared first on Analytics Vidhya.
Analytics Vidhya
SEPTEMBER 14, 2024
Introduction Mistral has released its very first multimodal model, namely the Pixtral-12B-2409. This model is built upon Mistral’s 12 Billion parameter, Nemo 12B. What sets this model apart? It can now take both images and text for input.
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Analytics Vidhya
OCTOBER 28, 2024
marks a significant leap forward in the field of large language models (LLMs). provides enterprise-ready, instruction-tuned models with an emphasis on safety, speed, and cost-efficiency focused on balancing power and practicality. Model: A Guide to Model Setup and Usage appeared first on Analytics Vidhya. The Granite 3.0
Analytics Vidhya
AUGUST 21, 2024
Introduction You’ve probably interacted with AI models like ChatGPT, Claude, and Gemini for various tasks – answering questions, generating creative content, or assisting with research. But did you know these are examples of large language models (LLMs)? appeared first on Analytics Vidhya.
Speaker: Jesse Simms, VP at Giant Partners
Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy. 📆 September 25th, 2024 at 9:30 AM PT, 12:30 PM ET, 5:30 PM BST
Analytics Vidhya
SEPTEMBER 30, 2024
This inclusion of […] The post Key Challenges and Limitations in AI-Language Models appeared first on Analytics Vidhya. AI is everywhere, from simple tasks like virtual chatbots to complex tasks like cancer detection. It has even recently replaced several jobs in the industry.
Analytics Vidhya
JUNE 6, 2024
Introduction Generative models have revolutionized the landscape of AI by enabling the creation of new, realistic data instances based on training data distributions. These models are unlike their discriminative counterparts, which focus on classifying data. appeared first on Analytics Vidhya.
Speaker: Jason Tanner
A sustainable business model contains a system of interrelated choices made not once but over time. We’ll explore how to shift from ambiguous descriptions of value to economic modeling of customer benefits to identify value exchange choices that enable a profitable pricing model.
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve!
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Let’s explore how you can apply scenario modeling in supply chain network design. To build your supply chain’s agility and responsiveness, you need to look at scenarios more frequently instead of relying on a single plan.
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In this article, we share best practices about modeling carbon costs in network design. Do you want to know the environmental impact of your supply chain and make sustainable decisions?
Speaker: Gertjan de Lange
If the last few years have illustrated one thing, it’s that modeling techniques, forecasting strategies, and data optimization are imperative for solving complex business problems and weathering uncertainty. Experience how efficient you can be when you fit your model with actionable data. Don't let uncertainty drive your business.
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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.
Advertiser: Data Robot
As machine learning models are put into production and used to make critical business decisions, the primary challenge becomes operation and management of multiple models.
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Modeling your base case. Modeling carbon costs. Scenario analysis and optimization defined. Creating a strategic digital twin (digital representation) of your supply chain network. Optimizing your supply chain based on costs and service levels. Dealing with multiple capacity constraints. Network design for risk and resilience.
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