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This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificialintelligence (AI) engineers. Softwarearchitecture, infrastructure, and operations are each changing rapidly. Trends in softwarearchitecture, infrastructure, and operations.
We’re seeing more code that’s written (at least in first draft) by generative AI tools, such as GitHub Copilot, ChatGPT (especially with Code Interpreter), and Google Codey. Softwarearchitecture is a distinct specialty that has only become more important over time. That brings me to my main point.
We recently learned about a major breakthrough: Google says it has achieved “quantum supremacy” with a 53-qubit computer. Google performed a computation in a few minutes (3 minutes, 20 seconds to be precise ) that would have taken more than 10,000 years on the most powerful computers we currently have.
We’ve seen the reaction to news that Amazon’s Echo and Google Home send recordings of conversations back to the server. What if all of your documents were in Google Docs, all of your music was in your favorite streaming service? O’Reilly ArtificialIntelligence Conference in San Jose , March 15-18, 2020.
You need to integrate artificialintelligence with human intelligence. We use Googles speech-to-text multispeaker API (still in preview) to generate a summary podcast with two participants. Learning is more likely with a book like Facilitating SoftwareArchitecture , which is more about concepts and ideas than code.
No university has the computing resources comparable to Google, or even to a well-funded startup. Examples of these skills are artificialintelligence (prompt engineering, GPT, and PyTorch), cloud (Amazon EC2, AWS Lambda, and Microsoft’s Azure AZ-900 certification), Rust, and MLOps.
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