RHab
Joined 3 years ago
Karma
16
Submissions
13
Member since
Dec 28
Recent submissions
Comment · 1 month ago
Yeah, also my impression.
Comment · 4 months ago
I wanted something like this for my knowledge wiki, nexidion:
https://github.com/HabermannR/Nexidion
Will look how hard it is to combine next week, thanks!
Comment · 5 months ago
I am working on something similar. I was also not aware Obsidian is not open source. Something never clicked for me with Obsidian. Will check out your code later.
My repo: https://github.com/HabermannR/Nexidion
Comment · 9 months ago
I just ended my contract with them. I could not reach my own raspberry pi Homepage which uses cloudflare. They called me and asked why I ended the contract, I told them about cloudflare, but that my cancellation is final, and magically my Homepage now works again!
Comment · 2 years ago
A llm backend fantasy game. It uses structured output and supports Openai, Anthropic and LM Studio. Gemini support is ending, at the moment it is not working reliable.
https://github.com/HabermannR/Fantasy-Tribe-Game
Comment · 2 years ago
I am trying to understand structured output from LLMs, and as training I am building a text game.
OpenAI is using pydantic to create objects directly in its beta branch, it's quite nice. Anthropic is a bit more involved, as you need to involve tool calling.
LM Studio 0.3.5 introduced a bug for structured output when using pydantic and enums or literals, I created a workaround.
Also Gemini is not using Pydantic at all, instead TypedDict to create the json scheme.
And Gemini does not have a system message.
I am quite proud to have everything working, if you want to check out my code please take a look: https://github.com/HabermannR/Fantasy-Tribe-Game
Here is the backend: https://github.com/HabermannR/Fantasy-Tribe-Game/blob/main/L...
For example, this is how I call Gemini:
completion = model.generate_content(
messages[0]['content'] + ": " + messages[1]['content'],
generation_config=genai.GenerationConfig(
response_mime_type="application/json", response_schema=response_types.typed_dict
),
)
result = response_types.pydantic_model.model_validate_json(completion.text)
Happy for any feedback!
Comment · 2 years ago
Hi, I am programming as a hobby since I am seven, and I always wanted to program a game, but never finished anything. I am super fascinated by LLMs, and made a small interactive text-based strategy game, where the player can choice a tribe and then gets presented 3 choices, which will shape the development of the tribe from humble beginnings to god like ascension. Everything is done procedurally by an LLM using structured output. I support OpenAI, Anthropic, and local LLM, tested with LM Studio.
Please take a look and give me some feedback, thanks!
https://github.com/HabermannR/Fantasy-Tribe-Game
Comment · 2 years ago
Abaqus for example is by core, I am severly limited, for me this makes totally sense.
Comment · 2 years ago
Würselen! The world is small :D
Comment · 3 years ago
No, I could only get 2.7B to run on 8GB VRam unfortunatly.
Comment · 3 years ago
No plastic material, only basic contact, no advanced connectors...
This is my problem with all these fancy FEA codes, nice in theory, not fit for industrial models.