nasa-smd-ibm-v0.1

nasa-smd-ibm-v0.1 is a RoBERTa-based encoder conversion model that is domain adapted and optimized for NASA scientific missions. It is fine-tuned and trained on scientific journals and articles related to NASA scientific missions, and is designed to enhance natural language technologies such as information retrieval and intelligent search. The model has 125 million parameters and is pre-trained using a masked language model. It can be used for tasks such as named entity recognition, information retrieval, sentence conversion, and scalable question answering, and is specifically targeted at scientific use cases related to NASA scientific missions.

Demand group:

"Scientific use cases related to NASA scientific missions, such as meteorology, climate, astronomy and other fields"

Example of usage scenario:

Use this model for intelligent retrieval of scientific literature

Build a question and answer system for questions related to NASA space missions

Extract key entities and concepts from scientific literature

Product features:

Named entity recognition

information retrieval

Sentence conversion

Extensible Q&A