Hype, hype and hype... It's the first page of the notebook that I write in tells me. I was buildi...Hype, hype and hype... It's the first page of the notebook that I write in tells me. I was buildi...
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Hype, hype and hype... It's the first page of the notebook that I write in tells me.
I was building automated workflows around Signalwatch, and it got me thinking about all the hype.
Hype around just one piece of the puzzle, LLMs. They just predict the next word while generating... No magic.The better they are trained, the better the output. Super helpful in a lot of contexts...
Tool calling. Helpful, but if LangChain and RAG + LLMs, for example, are not included where appropriate, ta ta, bye bye.
Automation. Someone bringing me a glass of water, for example, isn't something to be automated or waste resources or tokens on...
This brings me back to structural understanding, especially python + machine learning basics where you train a model based on a small piece of dataset you download from hugging face, for example... a lot becomes clear here
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Hi everyone,
Hope you're well. Reaching out in case you know of something that could be a fit... I left Support roles about 11 months ago and built up the structural understanding and skills since. I Shipped a consumer intelligence platform solo, backend and frontend, RAG,...
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