This is a simple wrapper that introduces any imaginable complex context to each question submitted to Open AI API. The main goal is to enhance the accuracy obtained in its answers in a TRANSPARENT way to end users.

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farmingvillein t1_jczf7z8 wrote on March 20, 2023 at 6:50 PM

#2,282,357

Maybe I'm reading too quickly, but I can't figure out what this actually does, from the README.

Nezarah t1_jd297zo wrote on March 21, 2023 at 9:26 AM

#2,288,869

Is this essentially In-Context Learning?

You condense additional knowledge as a prefix to the prompt as “context” so that the question/input can use that information to create a more accurate/useful output?

usc-ur OP t1_jd3nx3w wrote on March 21, 2023 at 4:38 PM

#2,292,564

Replying to Nezarah (#2,288,869)

That's right :) Check the "purpose" in our readme

usc-ur OP t1_jd3nzab wrote on March 21, 2023 at 4:38 PM

#2,292,570

Replying to farmingvillein (#2,282,357)

The main purpose of this project is joining in a single environment all the resources (models, prompts, APIs, etc.) related to LLMs. Moreover, we also think from an end-user perspective. It is heavily unlikely that a user would introduce a complex context in a query to a model or searcher. In this project, we try to bias the different model responses to answer in different ways/behaviors, but hidding this to end-users.

usc-ur OP t1_jd3o8te wrote on March 21, 2023 at 4:40 PM

#2,292,586

I want to announce that we have released v1.1.0 which includes access for ChatGPT and GPT4 for Plus suscribers! :)

https://github.com/citiususc/Smarty-GPT/tree/v1.1.0

farmingvillein t1_jd47vh9 wrote on March 21, 2023 at 6:43 PM

#2,293,945

Replying to usc-ur (#2,292,570)

OK, insofar as you care about adoption, I'd encourage you to clean up the README to make it much clearer as to what you're doing. Right now, you've got API call examples, but it isn't clear what is actually happening, why this wrapper is helpful/necessary, etc.

I can guess/infer all the above, but you want your README to make it really, really quick and easy for your readers to figure out what is going on.

Nezarah t1_jd4tt7y wrote on March 21, 2023 at 9:01 PM

#2,295,457

Replying to usc-ur (#2,292,564)

Ah! Iv only just started to dive into the machine learning rabbit hole so I was not sure of if was understanding the term correctly.

Im keen to check it out.

usc-ur OP t1_jd4ydfk wrote on March 21, 2023 at 9:30 PM

#2,295,790

Replying to farmingvillein (#2,293,945)

Thanks for the tips! Will consider them!