At a Glance

Name: Improve Customer Support Efficiency with Open-Source LLM
Price: Free CAD
Rating: 4.9 (16 reviews)
Author: vicky_kuo, efkan_serhat_goktepe

Get ready to boost your customer support efficiency! In this project, we'll use a hotel's Booking.com reviews as an example. We'll implement sentiment analysis and employ an open-source Large Language Model (LLM) to batch-generate personalized responses to customer reviews and uncover hidden pain points.

It’s a great quote from McKinsey: ‘Your customers lives are digital, but your service is analog.’ However, it doesn't just sound good—it accurately highlights the long-standing strategic imperative of digitizing customer service. In today's digital age, mastering the power of Natural Language Processing (NLP) and Language Language Models (LLMs) like ChatGPT and Hugging Face can greatly enhance your professional value and help you climb the ladder of your career. By diving into this project, you'll gain practical experience and skills in NLP, including leveraging LLMs, which can benefit you across various domains.

This project is perfect for you if:

You work in a company that values efficient business processes, excellent customer support, and effective task management.
You recognize the importance of leveraging technology to enhance your performance and achieve better outcomes in your role.
You are interested in learning how to apply natural language processing (NLP) techniques and open-source language models (LLMs) to optimize work processes, deliver exceptional customer support, and make data-driven decisions.

A Look at the Project Ahead

The primary goal of this project is to introduce you to the transformative capabilities of Natural Language Processing (NLP) and Language Models (LLMs) in revolutionizing customer support and work processes. Throughout this project, you will rapidly build NLP applications, focusing on sentiment analysis, generating empathetic AI responses, and making data-driven decisions using the powerful open-source Hugging Face APIs. Here's how this project can benefit you to:

Improve Customer Satisfaction: Gain insights into customer sentiments, identify their needs, and effectively address their concerns, leading to enhanced customer satisfaction and loyalty.
Enhance Communication with Customers: Generate empathetic AI responses to customer feedback, enabling businesses to respond to negative reviews or complaints in a caring manner, thereby converting negative experiences into growth opportunities.
Drive Data-Driven Decision Making: Analyze customer support data, extract valuable insights, and make data-driven improvements to products, services, or customer support systems based on key complaints or improvement suggestions.
Gain Hands-on Experience with NLP Applications: Acquire practical skills in building NLP applications using open-source APIs like Hugging Face. Follow step-by-step instructions and exercises to apply sentiment analysis, generate empathetic AI responses, and analyze text data, valuable for those interested in NLP and AI-driven customer support.

What You'll Need

To successfully complete this project, you will need to have basic knowledge of Python. But don't worry - we will guide you through every step of the process and provide you with all the resources you need to succeed.

You will be using IBM Skills Network Labs environment. Everything you need to complete this project will be provided for you. The only thing you need is a current versions of Chrome, Edge, Firefox, or Safari.

Offered By: IBMSkillsNetwork

Improve Customer Support Efficiency with Open-Source LLM

At a Glance

A Look at the Project Ahead

What You'll Need