Remove p from-development-to-deployment-of-an-ai-model-using-azure
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Find Your AI Solutions at the ODSC West AI Expo

ODSC - Open Data Science

At the AI Expo and Demo Hall as part of ODSC West in a few weeks, you’ll have the opportunity to meet one-on-one with representatives from industry-leading organizations like Microsoft Azure, Hewlett Packard, Iguazio, neo4j, Tangent Works, Qwak, Cloudera, and others. Check them out below.

NLP 52
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Setting Up a GPU Development Environment Using Docker

PyImageSearch

This lesson is the last of a 3-part series on Docker for Machine Learning : Getting Started with Docker for Machine Learning Getting Used to Docker for Machine Learning Setting Up a GPU Development Environment Using Docker (this tutorial) To learn how to set up your GPU development environment, just keep reading.

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How to Save Trained Model in Python

The MLOps Blog

When working on real-world machine learning (ML) use cases, finding the best algorithm/model is not the end of your responsibilities. It is crucial to save, store, and package these models for their future use and deployment to production. Usually, all ML and DL models provide some kind of method (eg.

Python 105
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13 Companies Leading the Way in AI Development

ODSC - Open Data Science

The future of AI is being created today! At ODSC West’s AI Expo , you’ll get an opportunity to see how the future will unfold and the trajectory of AI in the coming years from the companies who are laying down the groundwork. These two are a powerful duo for organizations seeking to accelerate their data and AI journey.

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Roadmap to Learn Data Science for Beginners and Freshers in 2023

Becoming Human

If you are a student or a fresher who wants to be a part of the data science domain but is a little bit confused about What to learn? How much to learn? So, this roadmap to learning data science will help you to resolve all your queries. So, this roadmap to learning data science will help you to resolve all your queries.

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A brief history of Data Engineering: From IDS to Real-Time streaming

Artificial Corner

Uncover the evolution of data engineering, from storage to real-time processing and AI integration. Then, we will dive deep into how real-time processing and AI integration have revolutionized data pipelines, empowering advanced analytics, intelligent applications, and data-driven decision-making.

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Reducing the cost of LLMs with quantization and efficient fine-tuning: how can businesses benefit from Generative AI with limited hardware?

deepsense.ai

More than a year has passed since the release of ChatGPT, which led hundreds of millions of people to not only talk about AI, but actively use it on a daily basis. One of the main challenges with turning LLMs into business value is the high cost of the expensive hardware required to run the models.