inference code is, the model weights are under a separate non-commercial license

nada, last commit last week

source?

really nice, thanks for sharing.
The license is still limited to non-commercial use due to model being fine-tuned LLaMA.

>We emphasize that Alpaca is intended only for academic research and any commercial use is prohibited. There are three factors in this decision: First, Alpaca is based on LLaMA, which has a non-commercial license, so we necessarily inherit this decision. Second, the instruction data is based OpenAI's text-davinci-003, whose terms of use prohibit developing models that compete with OpenAI. Finally, we have not designed adequate safety measures, so Alpaca is not ready to be deployed for general use.

"Hey, we made this commercial tool that is better than open source!"

I've tried Aleph's playground and mostly saw it generate complete garbage. Not sure how they will solve any of the ChatGPT's problems.

I believe so, I think you can experiment with different summarization prompts too. For me it is still trial and error when dealing with large context windows.

There are tools to work around this limitation such as LangChain with its support of summarization of previous context https://github.com/hwchase17/langchain

impressive, bash automation, here I come