Hands-On Generative AI: Applying Your Tabular Data With ChatGPT, GPT-4, and LangChain
1h 5mIntermediate2023-12-14
Authors
Alina Zhang
Course details
In this course, get hands-on experience with generative AI and natural language processing, and discover how openAI models work with tabular data. Join instructor Alina Zhang to learn how to leverage ChatGPT, GPT-4, and LangChain to perform advanced NLP tasks like summarization, entity detection, semantic analysis, and question answering. Learn to apply large language models on tabular data such as pandas DataFrames and CSV files. This course is your gateway to talk to your own data with generative AI solutions.
Skills covered
ChatGPTNatural Language Processing (NLP)OpenAIBusiness AnalyticsAI Productivity ToolsSoftware Development ToolsArtificial Intelligence (AI)Data ScienceBusiness Software and ToolsSoftware DevelopmentOne-Off
Concepts
0. Introduction
- 01 - Talk to your data using GPT models and LangChain
- 02 - Introduction to course materials
1. Data Preparation with LangChain
- 03 - Set up the development environment
- 04 - Load data into LangChain
- 05 - Split documents into smaller chunks
- 06 - Vectorstores and embedding
- 07 - Retrieve relevant chunks
2. NLP Use Cases Using LangChain and GPT
- 08 - RAG for question answering
- 09 - Custom prompt template
- 10 - Entity detection and recognition
- 11 - Output in structured data
- 12 - Sentiment analysis
- 13 - Text summarization with a focus
3. Async to Speed Up on Large Dataset
- 14 - Async to speed up the run
Conclusion
- 15 - Thank you