Modeling Related Topics 
Analytics Vidhya
MAY 29, 2023
Introduction Hugging face has provided different means of carryout image-to-image generation using pre-trained models and other available libraries. This article will generate new images from an input image using UNet2DConditionModel models. The implementation will be based on PyTorch and then the hugging face depth2img.
Analytics Vidhya
MAY 16, 2023
Introduction With the release of Chatgpt and other Large Language Models (LLMs), there has been a significant increase in the number of models available. Despite this, there is still no fixed or standardized way to evaluate the quality of these Large Language models. New LLMs are being released every other day.
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Analytics Vidhya
JUNE 1, 2023
Introduction In today’s digital age, language models have become the cornerstone of countless advancements in natural language processing (NLP) and artificial intelligence (AI). Language models […] The post Unleash the Power of Prompt Engineering: Supercharge Your Language Models!
Analytics Vidhya
JUNE 5, 2023
AI models have advanced significantly, showcasing their ability to perform extraordinary tasks. ” Recognizing the significance of this issue, OpenAI has recently made a groundbreaking discovery that could make AI models more logical. .”
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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.
Analytics Vidhya
JUNE 1, 2023
With franchise leagues like IPL and BBL, teams rely on statistical models and tools for competitive edge. The analysis benefits fantasy […] The post The Science of T20 Cricket: Decoding Player Performance with Predictive Modeling appeared first on Analytics Vidhya.
Analytics Vidhya
FEBRUARY 28, 2023
This article explains to you the idea […] The post Understanding Dimensional Modeling appeared first on Analytics Vidhya. This data is used by an organization to find valuable insights which help in improving an organization’s growth and strategies and give them an upper hand over its competitors.
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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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The guide includes a checklist, an assessment, industry-specific use cases, and a data & analytics maturity model and roadmap. Download this guide for practical advice on using a semantic layer to improve data literacy and scale self-service analytics.
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Answer 10 relevant questions and find out if your needs qualify for advanced network design & scenario modeling technology. Dedicated supply chain network design software is fuelled by intuitive scenario analysis capabilities on the front end and powerful mathematical optimization on the back end.
Advertiser: Data Robot
How to choose the appropriate fairness and bias metrics to prioritize for your machine learning models. How to successfully navigate the bias versus accuracy trade-off for final model selection and much more. Download this guide to find out: How to build an end-to-end process of identifying, investigating, and mitigating bias in AI.
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