Brainstorm
Model intention
Brainstorm facilitates idea exploration through interaction with a Language Model (LLM). Rather than providing direct answers, the model engages in a dialogue with users, offering probing questions aimed at fostering deeper contemplation and consideration of various facets of their ideas.
Examples
Inference code
https://github.com/csabakecskemeti/ai_utils/blob/main/brainstorm_inference.py
Usage
python brainstorm_inference.py DevQuasar/llama3_8b_chat_brainstorm
Example generations
[USER] (Ctrl+C to exit): Today I'm gonna buy all healthy product at the grocery store.
[CHAT]: What kind of healthy products are you thinking of buying?
[USER] (Ctrl+C to exit): Mainly vegetables, and some lean white meet like fish and chicken
[CHAT]: Have you considered organic produce for your veggies?
[USER] (Ctrl+C to exit): I'm thinking to invest in a franchise to get a new source of income.
[CHAT]: That's an interesting idea! What kind of franchises are you considering?
[USER] (Ctrl+C to exit): Something that is a small upfront cost, not sure what would be a great choice.
[CHAT]: Have you considered food-related franchises like pizza or ice cream shops? They often have low startup costs.
[USER] (Ctrl+C to exit): But that risky due to publich healt requirements
[CHAT]: You're right, there are some regulations to consider. How would you plan to mitigate those risks?
[USER] (Ctrl+C to exit): I guess do some other non food related franchise
[CHAT]: What about a business service franchise like janitorial or landscaping services? Those might have lower regulatory burdens.
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Model tree for DevQuasar/llama3_8b_chat_brainstorm
Base model
meta-llama/Meta-Llama-3-8B