OSU-NLP-Group/Middleware
Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments (EMNLP'2024)
This project helps developers integrate large language models (LLMs) with external knowledge bases and databases more effectively. It provides specialized tools that act as a buffer, enabling LLMs to navigate and retrieve information from vast external data sources without being overwhelmed by their complexity. The primary users are AI/ML engineers or researchers who are building or evaluating LLM-powered applications that need to interact with external data.
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Use this if you are developing LLM agents that need to access and utilize information from extensive databases or knowledge graphs to perform complex tasks.
Not ideal if your LLM application deals primarily with text processing within the model's inherent context window and does not require extensive external data interaction.
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Language
Python
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Last pushed
Dec 29, 2024
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