Supercharged Customer Service with Machine Learning
Open In Colab
In this blog post, we will simulate a real-world customer service use case and use tools machine learning tools of the Hugging Face ecosystem to address it.
We strongly recommend using this notebook as a template/example to solve your real-world use case.
Defining Task, Dataset & Model
Before jumping into the actual coding part, it's important to have a clear definition of the use case that you would like to automate or partly automate. A clear definition of the use case helps identify the most suitable task, dataset to use, and model to apply for your use case.https://github.com/huggingface/blog/blob/main/supercharge-customer-service-with-machine-learning.md
Open In Colab
In this blog post, we will simulate a real-world customer service use case and use tools machine learning tools of the Hugging Face ecosystem to address it.
We strongly recommend using this notebook as a template/example to solve your real-world use case.
Defining Task, Dataset & Model
Before jumping into the actual coding part, it's important to have a clear definition of the use case that you would like to automate or partly automate. A clear definition of the use case helps identify the most suitable task, dataset to use, and model to apply for your use case.https://github.com/huggingface/blog/blob/main/supercharge-customer-service-with-machine-learning.md
GitHub
blog/supercharge-customer-service-with-machine-learning.md at main · huggingface/blog
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