AI as an Engineering Tool
When it comes to Arduino project development, AI can do more than help write code for hardware projects.
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Demystifying the Model Context Protocol
The Model Context Protocol makes sharing important context with artificial intelligence models clean, repeatable, and secure.
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From Pixels to Predictions
Computer vision makes satellite data a powerful tool for tracking everything from flooding and forest regrowth to urban sprawl and agricultural efficiency.
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Applying Business Goals to Machine Learning Metrics
Successfully developing a machine learning proof of concept for production requires defining business goals and key metrics to guide progress.
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POC Post-Production: Tracking for ML Observability
Enhance your machine learning models’ performance post-production with effective monitoring and update strategies.
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Extending the ML Proof of Concept for Production
Learn how to realize the value of a machine learning proof of concept by robustly transitioning to production.
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Open Source for ML Modeling
Learn how to bootstrap the model development stage of your proof of concept using existing resources.
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A Robust Experimentation Environment for Success
Learn why an experimentation environment is crucial for success in building ML POCs.
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Data Criteria for ML POC Success
Explore the three critical aspects of building a dataset to make a machine learning project successful.
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Proof of Concept to Production
Successfully developing a machine learning proof of concept for production requires defining business goals and key metrics to guide progress.
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Deep Learning on Embedded Platforms
Integrating deep learning into embedded systems requires adept handling of various hardware and algorithm challenges.
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Give AI Tools, Get Better Results
Overcome limitations and supercharge large language models like GPT-4 by giving them access to software-based tools.
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GPT-3.5 vs. GPT-4: What's the Difference?
(Source: ckybe - stock.adobe.com) The generative pre-trained transformer (GPT) family of models from OpenAI has taken the world by storm, and keeping pace with the quickly emerging updates is...
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This Was (Not) Written by AI
As ChatGPT changes the way writers work with AI, ensuring that students don’t circumvent an education is becoming a priority.
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AI and Creativity
As AI artists produce works indistinguishable from those of their human counterparts, the debate rages on as to whether they are creating original art.
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AI Can Code Now
AI can code now, and it performs well enough to help experienced programmers code better and non-coders access the power of software.
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Using NLP to Leverage Unstructured Data
Natural language processing uses low-code and no-code solutions to unlock the value of unstructured data for businesses.
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Weakly Supervised Learning Unlocks Medical Imaging Insights
Until recently, artificial intelligence models have required vast amounts of accurate and completely labeled data. A newer branch of Deep Learning called weakly supervised learning is helping.
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AI for Startups: Solving Problems Using Machine Learning
Discover this high-level overview of determining AI input and outputs, working with data sets, and finalizing an AI model for use in startups.
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