# LLM Package

This repository contains the source code, documentation, and testing suite for the LLM (Large Language Model) package.

Table of Contents

• Project Overview
• Modes
• Functions

Project Overview

The LLM Package serves as a comprehensive toolkit to accelerate development with large-scale transformer-based models. The LLM package is designed to provide an interface for integrating with OpenAI’s API for large language models (LLMs). Initially, the package interacts directly with OpenAI’s API to generate responses from pre-trained models. However, our long-term goal is to deploy our own fine-tuned model on a cloud server to handle the same API requests. This transition allows us to have complete control over the model’s performance, customization, test, and cost management. This repository contains the package implementation and serves as a foundation for both phases:

• Phase 1: Integration with OpenAI API to Demo.
• Phase 2: Add Task Confirmation with OpenAI API.
• Phase 3: Add GPSR with OpenAI API.
• Phase 4: Add eGPSR with OpenAI API.
• Phase 5: Deployment on our cloud infrastructure with a fine-tuned LLMs.

Modes

• Demo: Demo request to LLM.
• Task Confirmation: Confirm the human command to GPSR and EGPSR.
• GPSR: Also includes the functions used to GPSR and EGPSR.

Functions

!!!Missing new functions!!! In the context of large language models (LLMs), tools (or functions) are extra abilities that the model can use to extend what it can do. Normally, an LLM processes text and generates responses based on patterns in language. However, tools allow the model to perform specific tasks beyond just generating text. In our case will change the robot behavior.