Long-Term Memory and Personalized LLM Responses: 5 Tiers Explained

Today, we’re diving into the world of long-term memory and personalization in large language models (LLMs). This discussion is inspired by the recent advancements in AI, particularly the new features introduced by ChatGPT that allow it to remember user interactions. Let’s break it down into five distinct tiers of personalization, from the most basic to the most advanced.

The Setup

Before we get started, ensure you have your OpenAI API key and a Pinecone API key ready. Pinecone is free, while OpenAI’s services are quite economical.

Installing Dependencies

pip install openai --quiet

Next, input your OpenAI API key:

import getpass
OPENAI_API_KEY = getpass.getpass('Enter your OpenAI API key: ')

Now, let’s set up an OpenAI client to interact with GPT:

from openai import OpenAI
client = OpenAI(api_key=OPENAI_API_KEY)

Understanding the Tiers of Personalization

F-Tier: No Personalization