MinishLab/semble
Fast and Accurate Code Search for Agents. Uses ~98% fewer tokens than grep+read
Build data processing and data analysis pipelines that leverage the power of LLMs 🧠
Fast and Accurate Code Search for Agents. Uses ~98% fewer tokens than grep+read
Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research
A library for mechanistic interpretability of GPT-style language models
clean & curate your data with LLMs.
data-to-paper: Backward-traceable AI-driven scientific research
Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.
4 captures since 2026-06-02
pyproject.toml
· python · 3 dependencies