Is this accessible via a local endpoint? I'd want to try calling it from other apps, for example.
I write the simplest incarnation of an idea onto an app, and just share it out with colleagues. I have no expectations. I'd say my hit rate is about 1/5. I consider it very high. It's also that high because my audience…
> Software development is a labor-intensive process, meaning that the number of software engineers can determine a carmaker's competitiveness. The ebb and flow of the layoff cycle...
I was just using tesseract.js and the repo looks active. Tesseract is still crap, but it's the free crap, so I'll just put up with it. Grayscale seems to improve the OCR. I'm sure there are tons of other techniques to…
Anthropic?! Regardless of what it is, congrats!
Any reading material about this?
Sounds like GPT-speak to me...
I think COT would still be useful for guiding the LLM to customized context. Most of these examples refer to vanilla arithmetic/logic reasoning COT.
I think with Langchain the LLM picks the tools/APIs you provide to it. With Jarvis the LLM picks the HF models available.
Owning up to the "wrong" is good in my book
Well it's honest
So cool! Is there support for layouts? Edit: Aw broken link - https://www.pycob.com/components Edit: Nevermind, found it - https://www.pyvibe.com/component_reference.html
Is this accessible via a local endpoint? I'd want to try calling it from other apps, for example.
I write the simplest incarnation of an idea onto an app, and just share it out with colleagues. I have no expectations. I'd say my hit rate is about 1/5. I consider it very high. It's also that high because my audience…
> Software development is a labor-intensive process, meaning that the number of software engineers can determine a carmaker's competitiveness. The ebb and flow of the layoff cycle...
I was just using tesseract.js and the repo looks active. Tesseract is still crap, but it's the free crap, so I'll just put up with it. Grayscale seems to improve the OCR. I'm sure there are tons of other techniques to…
Anthropic?! Regardless of what it is, congrats!
Any reading material about this?
Sounds like GPT-speak to me...
I think COT would still be useful for guiding the LLM to customized context. Most of these examples refer to vanilla arithmetic/logic reasoning COT.
I think with Langchain the LLM picks the tools/APIs you provide to it. With Jarvis the LLM picks the HF models available.
Owning up to the "wrong" is good in my book
Well it's honest
So cool! Is there support for layouts? Edit: Aw broken link - https://www.pycob.com/components Edit: Nevermind, found it - https://www.pyvibe.com/component_reference.html