Phidata: Framework for Building AI Assistants Using LLM Function Calls

  Phidata: A framework for building AI assistants using LLM function calls, allowing LLMs to intelligently choose actions based on responses by executing functions. The assistant has built-in memory, knowledge, storage, and tools, making it easy to build various applications such as knowledge assistants, data assistants, Python assistants, customer assistants, research assistants, marketing assistants, travel assistants, and meal prep assistants.

Phidata: Framework for Building AI Assistants Using LLM Function Calls
Phidata: Framework for Building AI Assistants Using LLM Function Calls

References: [1] http://github.com/phidatahq/phidata [2] https://docs.phidata.com/ [3] https://www.youtube.com/watch?v=VNoBVR5t1yI&t

NLP Engineering

1. This public account focuses on dialogue systems, sharing technologies in Python/C++/CUDA, ML/DL/RL, and NLP/KG/DS/LLM fields. 2. You can view the roadmap on the Feishu document: https://z0yrmerhgi8.feishu.cn/wiki/Zpewwe2T2iCQfwkSyMOcgwdInhf

NLP Engineering (Public Account)Phidata: Framework for Building AI Assistants Using LLM Function Calls

NLP Engineering (Planet Number)Phidata: Framework for Building AI Assistants Using LLM Function Calls

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