By combining ontology and large language model-driven techniques, engineers can build a knowledge graph that is easily queried and updatable. Skip to main content. Events Video Special Issues Jobs ...

Large language models can generate useful insights, but without a true reasoning layer, like a knowledge graph and graph-based retrieval, they’re flying blind.

We also need a language model integration (LMI) framework. This framework aims to link the LLM with the databases (and documents). Here too, there are many options: LangChain , LlamaIndex ...

In the field of Large Language Models(LLMs) vertical applications, the innovative direction of deeply integrating ...

Large-scale language models (LLMs) trained on extensive text corpora contain rich biological information and can be leveraged as a biological knowledge graph for pathway curation.

In a Q&A, Gabe Gomes discusses the potential to combine human creativity with machine capability, transforming chemical ...

Researchers find large language models process diverse types of data, like different languages, audio inputs, images, etc., similarly to how humans reason about complex problems. Like humans, LLMs ...