Historical multi-model Backrooms experiment with configurable conversation templates and example transcripts.
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Updated
Aug 14, 2026 - Python
Historical multi-model Backrooms experiment with configurable conversation templates and example transcripts.
A Python SDK for checkpoint-based conversation branching in LLM applications. Solve context pollution by creating isolated exploration branches without losing your context in the main conversation.
Synthetically Generating Intent-Aware Information-Seeking Dialogues! Useful for various tasks such as training/evaluating User Intent Predictors with the possibility to training/evaluating on real human dialogues. The backbone LLM of SOLID is Zephyr-7b-beta.
LLMs working together to play chess
Prompt prevents contextual bleed between active discussion and meta object being discussed via conceptual scaffolding.
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