I’d like to share insights I gained from reading 『ChatGPT/LangChainによるチャットシステム構築［実践］入門』吉田真吾（著） (Practical Introduction to Building Chat Systems with ChatGPT/LangChain by Shingo Yoshida).

Background: Getting Started with LangChain

I read this book to get started with LangChain as part of practicing LLM application development.

• Gijutsu-Hyohron: Practical Introduction to Building Chat Systems with ChatGPT/LangChain
• Amazon.co.jp: Practical Introduction to Building Chat Systems with ChatGPT/LangChain eBook : Shingo Yoshida, Yuki Oshima

Impression: Recommended Book for LangChain Introduction

I thought it was an excellent book for quickly learning about LLM application development using OpenAI API and LangChain. Following the keywords mentioned in this book seems to provide a smooth introduction to AI/LLM development.

Below are URLs from the book that I’ll want to reference in the future.

Quickstart

• Quickstart tutorial - OpenAI API
• Quickstart | 🦜️🔗 Langchain
• Get started - Streamlit Docs

Frameworks Other Than LangChain

• run-llama/llama_index: LlamaIndex (formerly GPT Index) is a data framework for your LLM applications
• microsoft/semantic-kernel: Integrate cutting-edge LLM technology quickly and easily into your apps
• guidance-ai/guidance: A guidance language for controlling large language models.

Vector Stores

• chroma-core/chroma: the AI-native open-source embedding database

OSS

• openai/tiktoken: tiktoken is a fast BPE tokeniser for use with OpenAI's models.

Useful Services

• Momento
• Pinecone | Vector Database for Vector

Documentation

• Prompt Engineering Guide | Prompt Engineering Guide
• Generative AI Usage Guidelines | Resources - Japan Deep Learning Association [Official]
• About Testing and Evaluation: Patterns for Building LLM-based Systems & Products

About LLM Security Measures

• OWASP Top 10 for Large Language Model Applications | OWASP Foundation
• Universal and Transferable Attacks on Aligned Language Models

Recommended YouTube Videos

[For those who want to start developing generative AI apps]
1. Mr. Egashira's (@segavvy) really easy-to-understand AI introduction https://t.co/V0BIOZAxE7
2. Mr. Oshima's (@oshima_123) LangChain introduction starting from prompt engineering https://t.co/QcrJzLG5gE

There were many helpful things, but for me, these two in particular

— ?????? Shingo Yoshida (@yoshidashingo) December 20, 2023

It might be good to also watch the videos recommended by the author.

• YouTube: [2023/12/07] [For Beginners] Really Easy-to-Understand AI Introduction—Explaining from Scratch to Latest Trends Without Formulas or Technical Terms! [Archive]
• YouTube: [2023/04/20] LangChain Introduction Starting from Prompt Engineering

That’s all from the Gemba, where I got started with LangChain.