Hands-On Generative AI: Applying Your Tabular Data With ChatGPT, GPT-4, and LangChain

سرفصل های دوره

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.

01 - Introduction

01 - Talk to your data using GPT models and LangChain

02 - Introduction to course materials

02 - 1. Data Preparation with LangChain

01 - Set up the development environment

02 - Load data into LangChain

03 - Split documents into smaller chunks

04 - Vectorstores and embedding

05 - Retrieve relevant chunks

03 - 2. NLP Use Cases Using LangChain and GPT

01 - RAG for question answering

02 - Custom prompt template

03 - Entity detection and recognition

04 - Output in structured data

05 - Sentiment analysis

06 - Text summarization with a focus

04 - 3. Async to Speed Up on Large Dataset

01 - Async to speed up the run

05 - Conclusion

01 - Thank you

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تولید کننده: LinkedIn Learning (Lynda)