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Comment by JohnKemeny | Hacker News Reader

Just commenting here so that I can find back to this comment later. You perfectly captured the AI hype in one small paragraph.

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Hey, why settle for yesteryear's world, with better accuracy, lower costs and local deployment, if you can use today's new shinny tool, reinvent the wheel, put everything in the cloud, and get hallucination for free..

What are the tools from the yesterday's world you are referring to? I've had issues with the base Python library in PDF parsing, only some state of the art tools were able to parse the information correctly.

Just commenting here to say the GP is spot on.

If you already have a high optimized pipeline built yesterday, then sure keep using it.

But if you start dealing with PDF today, just use Gemini. Use the most human readable formats you can find because we know AI will be optimized on understanding that. Don't even think about "stitching XML files" blahblah.

Except it's more expensive, hallucinates and you are vendor locked.

Why do you say you are vendor locked? There are 4-5 top of the line LLMs that support structured output and compete with Gemini. Once an LLM vendor has the pipeline built for structured output, they'll pass each new model through the pipeline.

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