rasa VS slinkity

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It itself is not a GPT. It is a a framework of a framework project built on top of Rasa (https://github.com/RasaHQ/rasa) and Langchain which by default uses gpt3.5-turbo (change it in the .env file) or any foundation model you wish.

Totally. Rasa (https://github.com/RasaHQ/rasa) is an open source chatbot platform.

It allows you to setup "Input Channels" e.g. slack telegram, and has an intents and response pipeline.

It leverages pre-LLM NLU models (NLTK, BERT, etc.) to score intents and based on that intent it will automate a pre-configured response.

My implementation allows you directly route (or fallback to) to GPT-3 or GPT-4 via Langchain document retrieval. So essentially this is an example of a knowledgebase customer support bot.

I hope that makes sense, let me know if not!

Rasa - also an open source platform. You can use it to build chatbots that are more in line with customer service and sales. Reading that, it’s kind of a big yikes for people under this kind of job knowing you can automate a part of their job via a chatbot. I think they also have a Pro version which is an extension that has additional analytics and probably more security features. I probably will check out the Open source one first and maybe ask about what the Pro version is.

At the moment it can recognise the type of statements in the training data set [1] and transpile them to Python, Java or C++ using the mappings defined here [2].

This is very different from how Codex/Autopilot work as it is trained using an NLU framework [3] which is usually used for training chatbots.

[1]: https://github.com/Flex-lang/transpiler/tree/master/transpil...

[2]: https://github.com/Flex-lang/transpiler/tree/master/transpil...

[3]: https://github.com/RasaHQ/rasa

It looks like it is built upon a Chatbot platform called “messengerx.io”, which itself seems to be built upon an open-source/machine-learning framework for voice/text conversations called “Rasa”

This example is sourced from RasaHQ

This example is sourced from Slinkity

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Slinkity is in early alpha and not recommended for production use. You can report issues or log bugs here. You can find the example code for this project on my GitHub.