Phidata: Framework for Building AI Assistants Using LLM Function Calls

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, … Read more

Why Is PyTorch So Efficient and Easy to Use? Exploring the Framework’s Internal Architecture

Why Is PyTorch So Efficient and Easy to Use? Exploring the Framework's Internal Architecture

Selected from blog.christianperone Author:Christian S. Perone Translated by: Machine Heart Contributors: Siyuan, Huang Xiaotian, Li Zenan As a deep learning framework supported by Facebook’s Artificial Intelligence Research (FAIR) team, PyTorch has rapidly become a popular development tool since its launch in January 2017. Its advantages in debugging, compilation, and other aspects have made it widely … Read more