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Benjamin Harvey, Ph.D., Founder & CEO of AI Squared – Interview Series

Unite.AI

What inspired you to found AI Squared, and what problem in AI adoption were you aiming to solve? With my background at the NSA, where I saw firsthand that nearly 90% of AI models never made it to production, I founded AI Squared to address the critical gap between AI development and real-world deployment.

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AI Engineers: Your Definitive Career Roadmap

Towards AI

Author(s): Jennifer Wales Originally published on Towards AI. AI Engineers: Your Definitive Career Roadmap Become a professional certified AI engineer by enrolling in the best AI ML Engineer certifications that help you earn skills to get the highest-paying job.

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Elon Musk’s xAI secures $6B to challenge OpenAI in AI race

AI News

However, he parted ways with the company in 2018 due to disagreements over its priorities and direction, specifically OpenAI’s move away from open-source AI models and towards proprietary, closed models that they sell access to. He co-founded OpenAI in 2015 alongside the current CEO, Sam Altman, and others.

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The Rise and Fall of Data Science Trends: A 2018–2024 Conference Perspective

ODSC - Open Data Science

The Rise of AI Engineering andMLOps 20182019: Early discussions around MLOps and AI engineering were sparse, primarily focused on general machine learning best practices. 20232024: AI engineering became a hot topic, expanding beyond MLOps to include AI agents, autonomous systems, and scalable model deployment techniques.

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NVIDIA and Microsoft Drive Innovation for Windows PCs in New Era of Generative AI

NVIDIA

“By working in concert with NVIDIA on hardware and software optimizations, we’re equipping developers with a transformative, high-performance, easy-to-deploy experience.” NVIDIA has been working closely with Microsoft to deliver GPU acceleration and support for the entire NVIDIA AI software stack inside WSL. We’re already seeing 1.5x

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Gentrace Secures $8M Series A to Revolutionize Generative AI Testing

Unite.AI

.” Addressing the Challenges of Generative AI Development Generative AIs rise has been meteoric, but so have the challenges surrounding its deployment. Models like GPT (Generative Pre-trained Transformer) require extensive testing to validate their responses, identify errors, and ensure safety in real-world applications.

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Getting ready for artificial general intelligence with examples

IBM Journey to AI blog

Most experts categorize it as a powerful, but narrow AI model. Current AI advancements demonstrate impressive capabilities in specific areas. A key trend is the adoption of multiple models in production. This multi-model approach uses multiple AI models together to combine their strengths and improve the overall output.