lootsauce

I totally agree with the sentiments in the video that the current state of agent architectures feels not there yet and we need an interoperable composable standard.

In my own experiments I have had major failures where much of the text is fabricated by the LLM to the point where I just find it hard to trust even with great prompt engineering. What I have been very impressed with is it’s ability to take medium quality ocr from acrobat with poor formatting, lots of errors and punctuation problems and render 100% accurate and properly formatted output by simply asking it to correct the ocr output. This approach using traditional cheap ocr for grounding might be a really robust and cheap option.

My brain must be warped by using LLMs because I could not help but think that it would be an amazing prompt, complete with multiple examples of each principal. Perhaps good prompting is good writing?

Logical yet, how overvalued did Tesla get?

To the contrary does it not imply any well organized group should have an easier time of accomplishing their aims while the rest are mired in the chaos?

You think the waste is high in tech saving a few mill here and there with db settings an ec2 optimizations? Imagine all the low sophistication marketing managers and CDOs, CMOS literally with 10 to 100+ million budgets much of which is completely wasted. Ten years in this space I have 2nd hand knowledge of specific cases that make your face melt.

This looks to be a big deal for vector database hosting costs. The pattern of moving away from hot ram towards algorithms that efficiently leverage ssd storage is a winner every time.

A thought, write a very constrained sane rendering/layout engine as a compile target for an llm to convert html/css to rather than support all css or any of it for that matter. Could there be some kind of llvm for html/css?