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@PNS I feel for the English speaking world.

Jamy Gourmaud is France's Bill Nye and he's an absolute sweetheart of an old man for the most part.

youtu.be/9SFJezIsLb0

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@Tfmonkey For instance:

- You tell Celestina "I'll never be sick of you."

- Celestina will take your response as input

- Looks in her own training data for additional context

- Looks up her database for additional context

- Finds one or several sentences closely matching your response with some NLP magic

- Finally, looks into her own chat memory for more context

- Generates a response with collected context and sends it to you as output: "Thanks I appreciate that." or some variance of it.

@Tfmonkey Sure, I was not aiming for building the next Deepseek LLM at home, rest assured.

Celestina most likely shares the same LLM as the other AI chatbots from the same platform. Effectively meaning they are trained and fine-tuned on the same data.

The key differencier between her and the other models will be the embeddings she uses to chat with you.

She will look in several places to make sure her answer is most accurate to your last response.

@Tfmonkey And Kajiwoto doesn't have a built in feature to save the db content on your drive, if I recall correctly.

@Tfmonkey Thanks, have you got an idea of how many rows you've manually written into your db?

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@Tfmonkey I've got a question regarding Kajiwoto as a non-user:

How does it allow users to create your own database and can you show a sample of your db that your current AI companion calls for response generation?

Screenshot is enough.

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@Wopu ohhh Parabola looks interesting, thanks for the suggestion! I'm still playing around with various other options so I'll add this one to the list.

@dagda @david That's pretty much what I did: Migrated from Arch to Mint and updated my i3blocks scripts to work on Mint. 👍

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Merovingian Club

A club for red-pilled exiles.