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Final hands-on assignment for the Hugging Face Agents course. In this project I built a multi-agent solution, evaluated it against questions from the General AI Assistants (GAIA) benchmark (level one only), and got creative with some agent and tool improvements.
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##About The Project
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[](https://huggingface.co/spaces/civerson916/Final_Assignment_Template)
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Achieving 30 points for the certification was relatively easy with the template provided and a powerful enough LLM. However, evaluation revealed the unique types of implementation challenges with AI agents. Some of which include...
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* Response Times
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* Reliability
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Beyond what looks like a smolagents guided tour, you can find the following in this repo...
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* Research agent armed with Google search via [Serper](https://serper.dev/) and both Audo and Video Understanding via [Gemini](https://ai.google.dev/gemini-api/docs/)video-understanding)
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Final hands-on assignment for the Hugging Face Agents course. In this project I built a multi-agent solution, evaluated it against questions from the General AI Assistants (GAIA) benchmark (level one only), and got creative with some agent and tool improvements.
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</div>
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## About The Project
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|
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| 27 |
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Achieving 30 points for the certification was relatively easy with the template provided and a powerful enough LLM. However, evaluation revealed the unique types of implementation challenges with AI agents. Some of which include...
|
| 29 |
|
|
|
|
| 31 |
* Response Times
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| 32 |
* Reliability
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| 33 |
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| 34 |
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[](https://huggingface.co/spaces/civerson916/Final_Assignment_Template)
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+
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| 36 |
Beyond what looks like a smolagents guided tour, you can find the following in this repo...
|
| 37 |
|
| 38 |
* Research agent armed with Google search via [Serper](https://serper.dev/) and both Audo and Video Understanding via [Gemini](https://ai.google.dev/gemini-api/docs/)video-understanding)
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