Comment by weatherlite
14 hours ago
> Skill and Langchain experts with production-grade 0>1 experience.
Also , it's just normal backend work - calling a bunch of APIs. What am I missing here?
14 hours ago
> Skill and Langchain experts with production-grade 0>1 experience.
Also , it's just normal backend work - calling a bunch of APIs. What am I missing here?
That is like saying training tensorflow models is just calling some APIs.
Actually making a system like this work seems easy, but isn't really.
(Though with the CURRENT generation or two of models it has gotten "pretty easy" I think. Before that, not so much.)
No idea about training tenserflow models - is it super complex or is it just calling a couple of APIs ? Langchain is literally calling an API. Maybe you need to get good with prompting or whatever, but I don't see where the complexity lies. Please let me know.
Having used both Tensorflow (though I expect they mean PyTorch which is way more popular, and I have also used) and langchain, they are nothing alike.
They he ML frameworks are much closer to implementing the mathematics of neural networks, with some abstractions but much closer to the linear algebra level. It requires an understanding of the underlying theory.
Langchain is a suite of convenience functions for composing prompts to LLMs. I wouldn’t consider there to be some real domain knowledge one would need to use it. There is a learning curve but it’s about learning the different components rather than learning a whole new academic discipline.
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Buzzwords.