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Information is physical, but knowledge is human. As a form of knowledge, science is socially applied hybrid intelligence ... as maps were replaced by GPS, science is now being defined by the applied connected, annotated intelligence of scientometry.
We not only learn from what others have learned; we also learn how others learn -- scientometry is about extending our learning technologies that depend upon citation metrology beyond data visualizations, connection graphs and information dashboards.
Annotations and engagement along the way matters ... the useful insights from our literature are all about our applied notes in the margins.
Our continuously updated annotated bibliometric connection graphs accelerate hybrid intelligence as we overcome impediments to advancing the scientific process.
"LightRAG: Simple and Fast Retrieval-Augmented Generation"
LlamaIndex is a data framework for your LLM applications
A collection of research materials on explainable AI/ML
Get up and running with Llama 2, Mistral, Gemma, and other large language models.
DSPy: The framework for programming—not prompting—foundation models
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
SciGLM: Training Scientific Language Models with Self-Reflective Instruction Annotation and Tuning
Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"
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