View Proposal
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Proposer
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Alessandro Suglia
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Title
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Multi-agent AI Systems using LLM
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Goal
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Using LLMs to develop Multi-agent Learning systems
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Description
- Traditional Natural Language Processing systems have been designed with a single task in mind such as sentiment analysis, text classification, etc. Thanks to Large Language Models like ChatGPT, these AI systems can now solve multiple tasks depending on the text prompt that they receive. However, a single AI agent wouldn't be sufficient to solve very complex and multi-step tasks required by intricate real-world applications. In this project, you will work with the most recent LLMs and combine them in novel ways to create complex multi-agent applications.
- Resources
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Microsoft AutoGen: https://microsoft.github.io/autogen/0.2/
OpenAI Swarms: https://github.com/openai/swarm
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Background
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https://arxiv.org/abs/2402.01680
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Url
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Difficulty Level
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Challenging
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Ethical Approval
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None
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Number Of Students
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2
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Supervisor
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Alessandro Suglia
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Keywords
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multi-agent systems,llms,generative ai,deep learning
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Degrees
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Master of Science in Artificial Intelligence
Master of Science in Human Robot Interaction
Master of Science in Robotics