LangChain and LLMs: A Guide to Developing NLP Applications (Part 1)

Gao Dalie (高達烈)
Automation Architech
2 min readApr 17, 2023

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https://python.langchain.com/en/latest/

Large Language Models

Large Language Models (LLMs) are a breed of natural language processing (NLP) of specific deep learning algorithms for generating multi-modal content via transformers. Some well-known examples include GPT-3, GPT-4, LaMDA, BLOOM, and LLaMA. ChatGPT has become the “first” LLM-powered chatbot and Bing has rolled out a search engine powered by GPT as well.

What is LangChain?

The LangChain framework is used to interact with LLMs. It offers a useful way to simplify the most common design patterns used in LLMs 👍

1- Iterating over documents to prepare a corpus by implementing pre-processing.

2 -Splitting the documents into chunks

3- Summarizing them

4 -Embedding the document chunks in a vector data source.

5 — Performing searches across documents

6 —Enabling Q+A over docs

Utilizing LangChain

With LangChain, you can create the following applications.

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Gao Dalie (高達烈)
Automation Architech

Learn AI Agent, LLMs, RAG & Generative AI See everything I have to offer at the link below: https://linktr.ee/GaoDalie_AI