nasa-smd-ibm-v0.1
NASA SMD, IBM, and collaborators present a groundbreaking new technology, version 0.1, advancing space exploration through innovative data analysis and simulation techniques.
English
English
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
AI tools are software or platforms that use artificial intelligence to automate tasks.
AI tools are widely used in many industries, including but not limited to healthcare, finance, education, retail, manufacturing, logistics, entertainment, and technology development.？
Some AI tools require certain programming skills, especially those used for machine learning, deep learning, and developing custom solutions.
Many AI tools support integration with third-party software, especially in enterprise applications.
Many AI tools support multiple languages, especially those for international markets.
