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Harness the Power of Pinecone with Cloudera’s New Applied Machine Learning Prototype

Cloudera

The use of Pinecone’s technology with Cloudera creates an ecosystem that facilitates the creation and deployment of robust, scalable, real-time AI applications fueled by an organization’s unique high-value data. We invite you to explore the improved functionalities of this latest AMP.

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Driving Digital Transformation with Open-Source Language Models

Mentormate

In a world dominated by headlines featuring proprietary models, open-source Large Language Models (LLMs) revolutionize industries and democratize AI access In this blog post, we delve into this unfolding narrative, demonstrating the potential of open-source LLMs and their role in shaping the future of AI-driven success.

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List of Top 10 Machine Learning Examples in Real Life

Openxcell

This buzz about Artificial Intelligence and Machine Learning must have amused an average person. But knowingly or unknowingly, directly or indirectly, we are using Machine Learning in our real lives. The answer to all your question is this blog. What is Machine Learning with example? Want to know?

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A Comprehensive Guide: What are the most popular Machine Learning Tools in 2023?

Openxcell

Machine Learning has noticed rapid growth—resulting in the creation of numerous tools and platforms for creating, evaluating, and deploying Machine Learning Models. The most popular Machine Learning tools have earned wide adoption in different industry settings and have active user and contributor groups.

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Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Therefore, the majority of machine learning/deep learning frameworks focus on Python APIs.

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Cloudera Introduces AI Inference Service With NVIDIA NIM

Cloudera

It integrates seamlessly with our recently launched AI Registry , a central hub for storing, organizing, and tracking machine learning models throughout their lifecycle. To learn more about how Cloudera and NVIDIA are partnering to expand GenAI capabilities with NVIDIA microservices, read our recent press release.

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Building a Machine Learning Application With Cloudera Data Science Workbench And Operational Database, Part 3: Productionization of ML models

Cloudera

For more context, this demo is based on concepts discussed in this blog post How to deploy ML models to production. Machine learning is now being used to solve many real-time problems. As a result, I decided to use an open-source Occupancy Detection Data Set to build this application. Background / Overview.