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Together raises $20M to build open source generative AI models

TechCrunch

With Together, Prakash, Zhang, Re and Liang are seeking to create open source generative AI models and services that, in their words, “help organizations incorporate AI into their production applications.” The number of open source models both from community groups and large labs grows by the day , practically.

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10 highest-paying IT skills for 2024

CIO

These roles include data scientist, machine learning engineer, software engineer, research scientist, full-stack developer, deep learning engineer, software architect, and field programmable gate array (FPGA) engineer. It is used to execute and improve machine learning tasks such as NLP, computer vision, and deep learning.

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AI Prowess: Harnessing Docker for Streamlined Deployment and Scalability of Machine Learning Applications

Dzone - DevOps

Machine learning (ML) has seen explosive growth in recent years, leading to increased demand for robust, scalable, and efficient deployment methods. Traditional approaches often need help operationalizing ML models due to factors like discrepancies between training and serving environments or the difficulties in scaling up.

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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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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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List of Top 10 Machine Learning Examples in Real Life

Openxcell

But with technological progress, machines also evolved their competency to learn from experiences. 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.

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How to take machine learning from exploration to implementation

O'Reilly Media - Data

Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Machine Learning in the enterprise". Scalable Machine Learning for Data Cleaning.