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ML and AI Model Explainability and Interpretability

Analytics Vidhya

We explore why understanding how models make predictions is crucial, especially as these technologies are used in critical fields like healthcare, finance, and legal systems.

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RAPIDS: Use GPU to Accelerate ML Models Easily

Analytics Vidhya

Introduction As Artificial Intelligence (AI) grows continuously, the demand for faster and more efficient computing power is increasing. Machine learning (ML) models can be computationally intensive, and training the models can take longer.

ML 302
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AI, ML, and Robotics: New Technological Frontiers in Warehousing

Unite.AI

To fulfill orders quickly while making the most of limited warehouse space, organizations are increasingly turning to artificial intelligence (AI), machine learning (ML), and robotics to optimize warehouse operations. Applications of AI/ML and robotics Automation, AI, and ML can help retailers deal with these challenges.

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The End of the Giant AI Models Era: OpenAI CEO Warns Scaling Era Is Over

Analytics Vidhya

OpenAI, the tech startup known for developing the cutting-edge natural language processing algorithm ChatGPT, has warned that the research strategy that led to the development of the AI model has reached its limits.

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Jason Knight is Co-founder and VP of ML at OctoAI – Interview Series

Unite.AI

Jason Knight is Co-founder and Vice President of Machine Learning at OctoAI , the platform delivers a complete stack for app builders to run, tune, and scale their AI applications in the cloud or on-premises. What differentiates OctoStack from other AI deployment solutions available in the market today?

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Facing Nvidia’s Dominance: Agile ML Development Strategies for Non-Big Tech Players (Amid Supply and Cost Challenges)

Unite.AI

Nevertheless, addressing the cost-effectiveness of ML models for business is something companies have to do now. For businesses beyond the realms of big tech, developing cost-efficient ML models is more than just a business process — it's a vital survival strategy. Challenging Nvidia, with its nearly $1.5

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10 Best JavaScript Frameworks for Building AI Systems (October 2024)

Unite.AI

This allows developers to run pre-trained models from Python TensorFlow directly in JavaScript applications, making it an excellent bridge between traditional ML development and web-based deployment. Key Features: Hardware-accelerated ML operations using WebGL and Node.js Transformers.js