We may earn an affiliate commission when you visit our partners.
Course image
Course image
Coursera logo

GenAI For Business Analysis

Fine-Tuning LLMs

Ahmad Varasteh

In this 2-hour project, you'll learn how to fine-tune the GPT-3.5 model using the OpenAI API in Python. You are an AI engineer employed by PulseNet, a telecommunications company that provides internet, television, and phone services. PulseNet operates with a large customer base and manages a substantial volume of daily inquiries, support requests, and product reviews. The company has received numerous complaints from customers, expressing dissatisfaction. PulseNet's objective is to enhance customer satisfaction by analyzing customer complaints more regularly to address and fix issues regarding their services. They require a Large Language model capable of extracting specific details from each complaint, including the topic, problem, and customer dissatisfaction index in real-time. This dissatisfaction index will range between 0 and 100, representing the level of customer anger derived from the complaint text. PulseNet has provided a dataset containing the latest 50 user complaints along with the extracted information in the desired format. Your role as an AI engineer is to use the OpenAI API and Python to fine-tune the GPT-3.5 model and retrain a new large language model (LLM) that is capable of extracting the necessary information from a given customer complaint in the desired format.

Read more

In this 2-hour project, you'll learn how to fine-tune the GPT-3.5 model using the OpenAI API in Python. You are an AI engineer employed by PulseNet, a telecommunications company that provides internet, television, and phone services. PulseNet operates with a large customer base and manages a substantial volume of daily inquiries, support requests, and product reviews. The company has received numerous complaints from customers, expressing dissatisfaction. PulseNet's objective is to enhance customer satisfaction by analyzing customer complaints more regularly to address and fix issues regarding their services. They require a Large Language model capable of extracting specific details from each complaint, including the topic, problem, and customer dissatisfaction index in real-time. This dissatisfaction index will range between 0 and 100, representing the level of customer anger derived from the complaint text. PulseNet has provided a dataset containing the latest 50 user complaints along with the extracted information in the desired format. Your role as an AI engineer is to use the OpenAI API and Python to fine-tune the GPT-3.5 model and retrain a new large language model (LLM) that is capable of extracting the necessary information from a given customer complaint in the desired format.

To get the most out of this course, you'll need access to the OpenAI API Key and a basic understanding of data analysis concepts, including data types, and data manipulation, along with some familiarity with Python. This course is for those who are experienced data analysts with at least a basic knowledge of Python and want to explore the exciting applications of generative AI in data analysis.

Enroll now

What's inside

Syllabus

Project Overview
In this 2-hour project, you'll learn how to fine-tune the GPT-3.5 model using the OpenAI API in Python. You are an AI engineer employed by PulseNet, a telecommunications company that provides internet, television, and phone services. PulseNet operates with a large customer base and manages a substantial volume of daily inquiries, support requests, and product reviews. The company has received numerous complaints from customers, expressing dissatisfaction. PulseNet's objective is to enhance customer satisfaction by analyzing customer complaints more regularly to address and fix issues regarding their services. They require a Large Language model capable of extracting specific details from each complaint, including the topic, problem, and customer dissatisfaction index in real-time. This dissatisfaction index will range between 0 and 100, representing the level of customer anger derived from the complaint text. PulseNet has provided a dataset containing the latest 50 user complaints along with the extracted information in the desired format. Your role as an AI engineer is to use the OpenAI API and Python to fine-tune the GPT-3.5 model and retrain a new large language model (LLM) that is capable of extracting the necessary information from a given customer complaint in the desired format. To get the most out of this course, you'll need access to the OpenAI API Key and a basic understanding of data analysis concepts, including data types, data manipulation, along with some familiarity with Python. This course is for those who are experienced data analysts with at least a basic knowledge in Python and want to explore the exciting applications of generative AI in data analysis.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Exploitation of GPT 3.5, a state-of-the-art AI language model that achieves human-like text generation and manipulation
Course targeted at those with basic Python knowledge and data analysis concepts seeking to apply generative AI in their work
Data extraction, analysis, and model training from customer complaints to enhance customer satisfaction
Step-by-step guidance on OpenAI API integration and GPT-3.5 model fine-tuning in Python
Prerequisites include basic Python knowledge and familiarity with data analysis techniques

Save this course

Save GenAI For Business Analysis: Fine-Tuning LLMs to your list so you can find it easily later:
Save

Activities

Coming soon We're preparing activities for GenAI For Business Analysis: Fine-Tuning LLMs. These are activities you can do either before, during, or after a course.

Career center

Learners who complete GenAI For Business Analysis: Fine-Tuning LLMs will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts collect, clean, and analyze data to extract insights that can help businesses make better decisions. This course can help you develop the skills you need to succeed as a Data Analyst, including data analysis, data visualization, and machine learning. The course will also help you build a portfolio of projects that you can use to showcase your skills to potential employers.
Machine Learning Engineer
Machine Learning Engineers design, develop, and maintain machine learning models. This course can help you develop the skills you need to succeed as a Machine Learning Engineer, including machine learning algorithms, natural language processing and deep learning. The course will also help you build a portfolio of projects that you can use to showcase your skills to potential employers.
Data Scientist
Data Scientists analyze data to extract insights and trends that can help businesses make better decisions. This course can help you develop the skills you need to succeed as a Data Scientist, including data analysis, data visualization, and machine learning. The course will also help you build a portfolio of projects that you can use to showcase your skills to potential employers.
Business Analyst
Business Analysts analyze business needs and develop solutions to improve business processes. This course can help you develop the skills you need to succeed as a Business Analyst, including data analysis, data visualization, and machine learning. The course will also help you build a portfolio of projects that you can use to showcase your skills to potential employers.
Natural Language Processing Engineer
Natural Language Processing Engineers develop and maintain Natural Language Processing models. This course can help you develop the skills you need to succeed as a Natural Language Processing Engineer, including natural language processing, deep learning, and machine learning. The course will also help you build a portfolio of projects that you can use to showcase your skills to potential employers.
Software Engineer
Software Engineers design, develop, and maintain software applications. This course can help you develop the skills you need to succeed as a Software Engineer, including programming, data structures, and algorithms. The course will also help you build a portfolio of projects that you can use to showcase your skills to potential employers.
Product Manager
Product Managers develop and manage products. This course can help you develop the skills you need to succeed as a Product Manager, including product management, market research, and customer feedback. The course will also help you build a portfolio of projects that you can use to showcase your skills to potential employers.
UX Researcher
UX Researchers study how users interact with products and services. This course can help you develop the skills you need to succeed as a UX Researcher, including user research, research methods, and data analysis. The course will also help you build a portfolio of projects that you can use to showcase your skills to potential employers.
Quantitative Analyst
Quantitative Analysts use mathematical and statistical methods to analyze data and make predictions. This course can help you develop the skills you need to succeed as a Quantitative Analyst, including data analysis, machine learning, and financial modeling. The course will also help you build a portfolio of projects that you can use to showcase your skills to potential employers.
Data Engineer
Data Engineers design, build, and maintain data pipelines. This course can help you develop the skills you need to succeed as a Data Engineer, including data engineering, data warehousing, and data visualization. The course will also help you build a portfolio of projects that you can use to showcase your skills to potential employers.
Financial Analyst
Financial Analysts analyze financial data to make investment recommendations. This course can help you develop the skills you need to succeed as a Financial Analyst, including financial analysis, valuation, and portfolio management. The course will also help you build a portfolio of projects that you can use to showcase your skills to potential employers.
Operations Research Analyst
Operations Research Analysts use mathematical and statistical methods to solve business problems. This course can help you develop the skills you need to succeed as an Operations Research Analyst, including data analysis, optimization, and simulation. The course will also help you build a portfolio of projects that you can use to showcase your skills to potential employers.
Project Manager
Project Managers plan, execute, and close projects. This course can help you develop the skills you need to succeed as a Project Manager, including project management, risk management, and stakeholder management. The course will also help you build a portfolio of projects that you can use to showcase your skills to potential employers.
Risk Analyst
Risk Analysts identify, assess, and manage risks. This course can help you develop the skills you need to succeed as a Risk Analyst, including risk management, data analysis, and financial modeling. The course will also help you build a portfolio of projects that you can use to showcase your skills to potential employers.
Business Intelligence Analyst
Business Intelligence Analysts collect, analyze, and interpret data to help businesses make better decisions. This course can help you develop the skills you need to succeed as a Business Intelligence Analyst, including data analysis, data visualization, and machine learning. The course will also help you build a portfolio of projects that you can use to showcase your skills to potential employers.

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in GenAI For Business Analysis: Fine-Tuning LLMs.
Provides a comprehensive overview of generative adversarial networks (GANs), including their theory, architecture, and applications. It is written by the creators of GANs and is considered a foundational text on the subject.
Provides a thorough introduction to deep learning concepts and techniques using Python. It covers a wide range of topics, including neural networks, convolutional neural networks, and recurrent neural networks, making it a valuable resource for readers who want to dive deeper into deep learning.
Specifically focuses on text mining using R. It covers a wide range of NLP techniques and applications, including text classification, sentiment analysis, and topic modeling, making it a valuable resource for readers who want to apply NLP to text data.
Provides a comprehensive introduction to machine learning concepts and techniques using Python. It covers a wide range of topics, including data preprocessing, model selection, and evaluation, making it a valuable resource for readers who want to build a strong foundation in machine learning.
Provides a concise and accessible introduction to machine learning concepts and algorithms. It is written in a clear and engaging style and is suitable for readers with little or no prior knowledge of machine learning.
Non-technical introduction to machine learning. It covers the basics of machine learning in a clear and easy-to-understand way, making it a good starting point for readers who are new to the field.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Here are nine courses similar to GenAI For Business Analysis: Fine-Tuning LLMs.
Product Reviews Text-based Search - OpenAI Text Embedding
Most relevant
Dealing with Irrational Customers and Escalating...
Most relevant
Open AI for Beginners: Programmatic Prompting
Most relevant
Generative AI using OpenAI API for Beginners
Most relevant
Generative AI:Beginner to Pro with OpenAI & Azure OpenAI
Most relevant
Building Systems with the ChatGPT API
Most relevant
Developing Generative AI Applications with Python and...
Most relevant
Customer Service with Python: Build a Chatbot using...
Most relevant
Generative AI using Azure OpenAI ChatGPT for Beginners
Most relevant
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser