Data synthesis pipeline generating high-quality alignment data for LLMs
Magpie is a data synthesis pipeline that generates high-quality alignment data. Magpie does not rely on prompt engineering or seed questions. Instead, it directly constructs instruction data by prompting aligned LLMs with a pre-query template for sampling instructions.
First rigorous benchmark for advancing multimodal dataset creation.
An open source implementation of OpenAI's CLIP
An open-source framework for training large multimodal models
Fully open data curation for reasoning models
Synthesizing 1.5M Tool-Agentic Data from Real-World MCP Environments
Benchmark to evaluate AI agriculture advisory services.
AI tools for adult and online education: personalized tutoring, virtual teaching assistants, and interactive learning.