This is the LLMLingua-2 model fine-tuned on the MeetingBank dataset. It compresses long inputs such as meeting transcripts while preserving key information, helping reduce token usage and inference costs in large language model applications.
Llmlingua 2 Xlm Roberta Large Meetingbank is an Other AI project. It focuses on reducing the length and cost of long prompts and meeting transcripts for LLM processing. Llmlingua 2 Xlm Roberta Large Meetingbank is an open-source project aimed at developers. Llmlingua 2 Xlm Roberta Large Meetingbank is open source under the Open Source license. It runs on the web and API.
Behind Llmlingua 2 Xlm Roberta Large Meetingbank is Microsoft, based in the United States, and it first shipped in 2024. Among its 3 catalogued features are prompt compression, token reduction, and meeting transcript processing.
Summary written by a language model from the project’s public pages.
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