FineTuning Local Large Language Models on Your Data Using LangChain

Author(s): Serop Baghdadlian

Originally published on Towards AI.

Stop sending your private data through OpenAI API! Use local and secure LLMs like GPT4all-J from Langchain instead.

Photo by Annie Spratt on Unsplash

The recent introduction of Chatgpt and other large language models has unveiled their true capabilities in tackling complex language tasks and generating remarkable and lifelike text.

Consequently, numerous companies have been trying to integrate or fine-tune these large language models using their own data to extract knowledge or develop chatbots capable of comprehending the complex domain knowledge specific to their organization.

A beginner-friendly introduction to fine-tuning Large language models using the LangChain framework on your domain…

ai.plainenglish.io

In my previous article titled “Fine Tuning Large Language Models with LangChain,” I demonstrated how to leverage Chatgpt and the OpenAI API… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI