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How LLMLingua-2 Improves on the Original LLMLingua: LLMLingua-2 improves on the original LLMLingua in three connected ways: it learns compression targets through data distillation instead of relying on…
Where to Find LLMLingua Demos, Code, and Papers: The LLMLingua Series site (llmlingua.com) is the central hub for the Microsoft Research prompt-compression family: LLMLingua, LongLLMLingua, LLMLingu…
Why Compress Prompts Before Sending Them to Large Language Models?: Compress prompts before sending them to an LLM to cut inference cost and latency while keeping task performance. The need arises because modern promp…
LLMLingua vs. LongLLMLingua vs. LLMLingua-2 vs. SeCom: Which Prompt Compression Method Fits Your Use Case?: The LLMLingua Series is a Microsoft Research project family for compressing prompts so that long inputs fit more efficiently into large language mode…
What Is the LLMLingua Series Website?: The LLMLingua Series site is the project home for Microsoft Research's prompt-compression work: LLMLingua, LongLLMLingua, LLMLingua-2, and SeCom. It …