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Hugging Face reaches $2 billion valuation to build the GitHub of machine learning

TechCrunch

When I first covered the company in 2017, the startup was focused on a consumer app. Due to the success of this libary, Hugging Face quickly became the main repository for all things related to machine learning models — not just natural language processing. Essentially, Hugging Face is building the GitHub of machine learning.

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AWS adds machine learning capabilities to Amazon Connect

CIO

In a bid to help enterprises offer better customer service and experience , Amazon Web Services (AWS) on Tuesday, at its annual re:Invent conference, said that it was adding new machine learning capabilities to its cloud-based contact center service, Amazon Connect. Cloud Computing, Enterprise Applications, Machine Learning

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Explosion snags $6M on $120M valuation to expand machine learning platform

TechCrunch

Explosion , a company that has combined an open source machine learning library with a set of commercial developer tools, announced a $6 million Series A today on a $120 million valuation. “Fundamentally, Explosion is a software company and we build developer tools for AI and machine learning and natural language processing. .

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Swiss energy services company uses machine learning to see the future

CIO

That changed in 2017 when Swiss voters approved an energy act that would reduce the country’s dependency on fossil fuels by 2050. The new platform would alleviate this dilemma by using machine learning (ML) algorithms, along with source data accessed by SAP’s Data Warehouse Cloud.

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Cracking the Code — How Machine Learning Supercharges Threat Detection

Palo Alto Networks

That happened for us around that 2017 timeframe and now we've grown to the 22 full-time employees that we have here in the SOC today. ChatGPT, a language-based machine learning model, is not exempt from this discussion. While ChatGPT presents promising opportunities in cybersecurity, it also raises ethical considerations.

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MLOps: Methods and Tools of DevOps for Machine Learning

Altexsoft

When speaking of machine learning, we typically discuss data preparation or model building. The fusion of terms “machine learning” and “operations”, MLOps is a set of methods to automate the lifecycle of machine learning algorithms in production — from initial model training to deployment to retraining against new data.

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10 most in-demand generative AI skills

CIO

Most relevant roles for making use of NLP include data scientist , machine learning engineer, software engineer, data analyst , and software developer. TensorFlow Developed by Google as an open-source machine learning framework, TensorFlow is most used to build and train machine learning models and neural networks.