Over the past year, a new developer persona has emerged: the AI Engineer. This role differs from either traditional software engineers or data science/ML engineering. It increasingly looks like AI Engineer’s task is centered around productizing AI and making it consumable through REST APIs.
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What would Anthropic’s Claude do if it was free of being constrained by existing software development tools and methodologies?
Here’s what Claude says:
Neural-symbolic hybrid architecture: Instead of using traditional programming languages, I would likely use a system that combines neural networks with symbolic reasoning.
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The field of natural language processing is undergoing a rapid evolution, with long-context language models (LCLMs) taking center stage. These models, capable of processing and understanding larger chunks of text and various data formats, are poised to revolutionize the way we interact with and leverage AI-powered language systems.
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