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20 Machine Learning/Artificial Intelligence Influencers To Follow In 2020

Hacker Earth Developers Blog

Machine Learning (ML) is emerging as one of the hottest fields today. The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% billion by the end of 2025. Alex Champandard.

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20 Machine Learning/Artificial Intelligence Influencers To Follow In 2020

Hacker Earth Developers Blog

Machine Learning (ML) is emerging as one of the hottest fields today. The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% billion by the end of 2025. Alex Champandard.

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5 ways to deploy your own large language model

CIO

A large language model (LLM) is a type of gen AI that focuses on text and code instead of images or audio, although some have begun to integrate different modalities. That question isn’t set to the LLM right away. And it’s more effective than using simple documents to provide context for LLM queries, she says.

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How machines learned to chat

CIO

For example, they may be trained on company or industry data and deployed to perform a single task, such as identifying images or generating personalized marketing content. They’ll be more limited but more targeted in what they can do. Only a handful of SLMs have been deployed, mostly for writing code and retrieving data. CEO Robb Wilson.

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Arthur.ai machine learning monitoring gathers steam with $42M investment

TechCrunch

It’s widely understood that after machine learning models are deployed in production, the accuracy of the results can deteriorate over time. launched in 2019 with the goal of helping companies monitor their models to ensure they stayed true to their goals. snags $15M Series A to grow machine learning monitoring tool.

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Slack’s former head of machine learning wants to put AI in reach of every company

TechCrunch

Adam Oliner, co-founder and CEO of Graft used to run machine learning at Slack, where he helped build the company’s internal artificial intelligence infrastructure. The market for synthetic data is bigger than you think. “We

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Building a vision for real-time artificial intelligence

CIO

Data is a key component when it comes to making accurate and timely recommendations and decisions in real time, particularly when organizations try to implement real-time artificial intelligence. The underpinning architecture needs to include event-streaming technology, high-performing databases, and machine learning feature stores.