| Title | : | LangChain Crash Course: Build OpenAI LLM powered Apps: Fast track to building OpenAI LLM powered Apps using Python |
| Author | : | |
| Rating | : | |
| ISBN | : | - |
| Language | : | English |
| Format Type | : | Kindle Edition |
| Number of Pages | : | 87 |
| Publication | : | Published September 5, 2023 |
In this course, we will
What is LangChain
How does LangChain Work
Installation, Setup and Our First LangChain App
Building a Medium Article Generator App
Connecting to OpenAI LLM
Prompt Templates
Simple Chains
Sequential Chains
Agents
Chat with a Document
Adding Memory (Chat History)
Outputting the Chat History
Uploading Custom Documents
Loading Different Document Types (eg PDF, txt, docs)
Chat with Youtube and more...
The goal of this course is to teach you LangChain development in a manageable way without overwhelming you. We focus only on the essentials and cover the material in a hands-on practice manner for you to code along.
Working Through This Course
This course is purposely broken down into short sections where the development process of each section will center on different essential topics. The course a practical hands on approach to learning through practice. You learn best when you code along with the examples.
LangChain Crash Course: Build OpenAI LLM powered Apps: Fast track to building OpenAI LLM powered Apps using Python Reviews
-
This is a book on the LangChain... hmm... "technology"? "framework"?
Anyway, I got a slight understanding of what a Langchain is, and how to use a Python API for writing Langchain apps.
While I love Python, and Streamlit lib gives a beautiful UI in just 2-3 lines of code, I got tired of following those python indentation, as copying the code from Kindle for Mac was not very pleasant.
Found a Swift langchain repo, it's much less mature than Python libs. For the Chroma lib for storing embeddings, looks like Swift doesn't have a one yet.
This book gives almost no insights into specific langchain concepts, but showcases a lot of usecases, of which I didn't think before.
So looks like it was quite a gentle introduction. -
quick and effective I like this introduction
A great book to start with llm and langchain - quick and effective. Clear explanations of codes were used. I would recommend for llm and langchain beginners -
Quick and easy. Done reading it in a day. Well Organized!
-
I found this book answered a lot of questions for me on how AI and LLM apps work. By building simple practical apps like chatting with a document using the Langchain framework and getting assistance on writing articles, one learns the features of the framework quickly!
