Tag: Code for a Living
Plenty of workers prefer flexibility, regardless of what the research says.
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Text embeddings are key to LLMs and convert text into vector coordinates.
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A business wouldn’t take its product development for granted, so why would you neglect the OSS community that’s fundamental to the project’s very existence?
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AI is garbage in, garbage out, so feed it good data.
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The opportunities for edge computing are huge—but so are the memory requirements.
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Both new tech talent and late-career developers are both more likely to be looking.
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The core challenge posed by generative AI right now is that unlike conventional applications, LLMs have no “delete” button.
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Retrieval augmented generation (RAG) is a strategy that helps address both LLM hallucinations and out-of-date training data.
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Being an effective coder with a code generation tool still requires you to be an effective coder without one.
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Highlighting one of the interesting discussions going on in our Collectives.
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