AI Apps with ChatGPT and LangChain: The Introduction
Building Generative AI applications with powerful Large Language Models
4.70 (22 reviews)
282
students
7 hours
content
Aug 2023
last update
$15.99
regular price
What you will learn
Understand Large Language Models and how to use them in AI Apps, how to prepare inputs, call GPT API endpoints and process outputs.
Core Prompting Techniques: Instructions, Zero-Shot, Few-Shot, Self Confidence, Chain-of-Thoughts, Output Formatting to JSON Strings, etc.
Using ChatGPT API in Natural Language Processing tasks: Named Entity Extraction, Classification, Sentiment Analysis, Translation.
Manage chat history with LangChain Conversation Memory classes, including Window Buffer, Token Buffer and Summary, enabling sophisticated, intelligent chatbots.
Use Embeddings to create Vector Databases and Semantic Similarity Search to retrieve relevant documents to chat with PDF or HTML docs and Source Code.
Summarise long texts with LangChain Map-Reduce and Refine Chains, including PDFs, web pages, YouTube video transcripts.
Use ReAct and OpenAI Functions Agent Classes to develop reasoning Agents capable of dealing with complex problems, requiring sequence of steps to solve.
Build Chat applications to perform ad hoc Data Analysis with Pandas dataframes or SQL databases.
Develop intuitions about how all these work and can be applied to solve real tasks.
Learn latest and greatest Python libraries to build LLM enabled applications, including the famous LangChain.
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5472018
udemy ID
29/07/2023
course created date
21/08/2023
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