GPT4All Technology for Smart Package Robot (SPR)
GPT4ALl is an open Source AI-System that can be installed on your local Computer.
Or possibly in your network. You can use it with the SPR.
Introduction
GPT4All is an open-source software ecosystem developed by Nomic AI that allows users to use large language models locally on everyday hardware such as laptops, desktops, and servers.
The software is specifically optimized to perform inference with large language models having 7-13 billion parameters.
It achieves this by utilizing neural network quantization, which reduces the memory requirements of these models so that they can be run efficiently on consumer-grade hardware with limited resources (see GPT4All docs). To be able to use it with the SPR, the Software must be installed on your Computer or in your Network.
Use the Local Docs Feature"
GPT4All contains a "Local Docs" Feature that enables you to access local docs like PDFs or other documents via its AI.
This can be seen like a intelligent Search Engine. More Details see below.
Models and Quantization
GPT4All supports lots of freely available LLM-Models, you can click on "Download" to install these on your local Computer.
GPT4All also supports use of the most advanced OpenAI Models through its Interface, yet this may not be needed as you can use them with the SPR directly.
If you click "Downloads" in the left side Menu, you will get to the LLM-Page, where you can download and install the AI-Models (LLMs) of your choice.
Inference Speed and Performance
The inference speed of a local large language model (LLM) depends on the model size and the number of tokens provided as input. It's not advisable to use large chunks of context with local LLMs as their inference speed will significantly degrade. For context windows larger than 750 tokens, it's recommended to run GPT4All models on a GPU. Native GPU support for GPT4All models is planned. The performance of an LLM depends on various factors including the quantity and diversity of the pre-training data and the fine-tuning data. GPT4All aims to bring the most powerful local assistant models to desktops and is actively being improved by Nomic AI.
During the processing the AI will use 99% of the available CPU Resources, no matter how many Cores your system has.
Do i need a lot of VRAM?
GPT4All makes use of a process called neural network quantization to make it feasible to run large language models locally. Normally, a multi-billion parameter transformer would require more than 30GB of VRAM, which is not commonly available. Through quantization, GPT4All models require only 4-8GB of RAM. Currently, the ecosystem is compatible with three variants of the Transformer neural network architecture: LLaMa, GPT-J, and MPT. Any model trained with these architectures can be quantized and run locally with all GPT4All bindings and in the chat client.
Integration with Smart Package Robot (SPR)
Smart Package Robot (SPR) can leverage the GPT4All technology to enhance its capabilities. And therefore enable you to use the System in your Scripts.
By integrating GPT4All, SPR can run powerful language models locally which is beneficial for data privacy and sometimes faster processing times.
This can be particularly useful for natural language processing tasks, generating responses or information based on user queries, and more without the need for an internet connection.
Important:
Before you can use this Command, GPT4All must be installed on your System.
Sidenote:
While GPT4All models may not match the prowess of OpenAI’s offerings, they come with the distinct advantage of being local, thus incurring no additional costs.
They are still quite capable and suitable for handling smaller tasks.
Like with any AI system, it's advisable to use computers that have a high number of CPU cores and substantial VRAM on the graphics card to optimize performance.