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April 11, 2023
HOW YOU CAN INSTALL A CHATGPT-LIKE PERSONAL
AI ON YOUR OWN COMPUTER AND RUN IT WITH NO
INTERNET.
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How You Can Install A ChatGPT-like
Personal AI On Your Own Computer And
Run It With No Internet.
T
his article is designed with the goal in mind for anyone to install this software.
Originally it had a video that was to accompany the how-to, however things a
changing rapidly, and my three attempts just delayed me from publishing this article.
I may include it later. I endeavored to create a simple step-by-step instruction to
install a Personal AI for an extreme novice. Someone that may never have been to
GitHub and never used Terminal. If you are someone that has, a good chance this particular article
is not for you. You may find some of our local models we have built and will publish soon to be
more interesting. If you are an expert in installing software, focus your energies on helping others
and the community, not on “who doesn’t know that” or “I knew it, he is just writing about…” sort of
comments. Use your power and skills to lift us all higher.
The “First PC” Moment For Personal AI
This is the “first PC” moment for Personal AI and with it will be limitations just like when the first
Apple 1 was produced in a garage. You are a pioneer. Today, private and Personal AI is available to
anyone. You can have a version of ChatGPT-like features running on your own computer and not
need it to be connected to the Internet after the installation.
All human knowledge is a synthesis of the known and the unknown. AI used as a positive force
multiplexer and as The Intelligence Amplifier for you, your Personal AI well help you and all of us
navigate this gap. With your Personal AI , and the right SuperPrompts, humanity will thrive like
never before. The only thing you need at this moment is the power to know this and take it in your
hands to do with it as you want to see the world for you and everyone you love that come after you.
It is not AI it is IA (Intelligence Amplification).
One Example Of Personal AI
The system we will cover today (I will write about many more) can run on a recent and typical, but
not high performance CPU with 8GB RAM with just 4GB of disk space. Yes, the entire model, a great
deal of the corpus of human knowledge in just 4GB of disk space. Are there limitations? Of course.
It is not ChatGPT 4, and it will not handle some things correctly. However, it is one of the most
powerful Personal AI systems ever released. It is called GPT4All.
GPT4All is a free, open source ChatGPT-like Large Language Model (LLM) project by a team of
programmers at Nomic AI (Nomic.ai). This is the work of many volunteers but leading this effort is
the amazing Andriy Mulyar Twitter:@andriy_mulyar. If you find this software useful, i urge you to
support the project by contacting them. GPT4All is built on the LLaMA 7B model. LLaMA stands for
Large Language Model Meta (Facebook) AI. It includes a range of model sizes from 7 billion (7B) to
65 billion parameters. Meta AI researchers focused on scaling the model’s performance by
increasing the volume of training data, rather than the number of parameters. They claimed the 13
billion parameter model outperformed 175 billion parameters of GPT-3 model. It uses the
transformer architecture and was trained on 1.4 trillion tokens extracted by web scraping
Wikipedia, GitHub, Stack Exchange, books from Project Gutenberg, scientific papers on ArXiv.
The Nomic AI team fine-tuned models of LLaMA 7B and final model and trained it on 437,605 postprocessed assistant-style prompts. They took inspiration from another ChatGPT-like project called
Alpaca but used GPT-3.5-Turbo from OpenAI API to collect around 800,000 prompt-response
pairs to create the 437,605 training pairs of assistant-style prompts and generations, including
code, dialogue, and narratives. However, 800K pairs are roughly 16 times larger than Alpaca. The
best part about the model is that it can run on CPU, does not require GPU. Like Alpaca it is also an
open source which will help individuals to do further research without spending on commercial
solutions.
Detailed model hyperparameters and training codes can be found in the GitHub repository,
https://github.com/nomic-ai/gpt4all. Developing GPT4All took approximately four days and
incurred $800 in GPU expenses and $500 in OpenAI API fees. Additionally, a final gpt4all-lora
model can be trained on a Lambda Labs DGX A100 8x 80GB in about 8 hours, with a total cost of
$100.
GPT4All compared its perplexity with the best publicly known alpaca-lora model and showed that
the fine-tuned GPT4All models exhibited lower perplexity in the self-instruct evaluation compared
to Alpaca. However, this assessment was not exhaustive due to encouraging users to run the model
on local CPUs to gain qualitative insights into its capabilities.
The Nomic AI team did all this in days and did it in just 4GB of disk space. And it is free and open
source. It is important to know all the localized Personal AI models and software is very new and
not normally designed for average folks. It is open source and there is no “customer service and
support”. Installation is usually “go to Git Hub and clone it”. Thus, this is early Pioneer days and
with this you will need to be patient. The payoff is your own Personal AI. I feel Personal AI is a
revolution equal to the invention of the automobile. It was not until Henry Ford made the
automobile in reach to anyone, did humanity break bounds that held us back. This is the spirit in
which I wrote this How-To article, and I hope it can help even the most technologically challenged
gain access to this new tool.
But why have Personal AI? There will be endless reasons, however some are:
1. Data Privacy: Many companies want to have control over data. It is important for them as they
don’t want any third-party to have access to their data.
2. Customization: It allows developers to train large language models with their own data and
some filtering on some topics if they want to apply
3. Affordability: Open source GPT models let you to train sophisticated large language models
without worrying about expensive hardware.
4. Democratizing AI: It opens room for further research which can be used for solving real-world
problems.
5. Freedom: AI is rapidly becoming the target of censorship, regulation and worse. This may be the
last chance to own your own AI. Italy already has banned ChatGPT, so be advised.
6. Personalized Training: After the base model is downloaded, you may be able to train the model
to retain your personal data for it to analyze and build neurons with.
There are many other reasons, and almost none are for “bad purposes”. If a bad actor wanted to
ask “bad” things, there are far easier ways for this than local AI. However, using the SECRET
version of the model below, you may be offended with some results. It is designed to supply the
raw results with no filters. You can switch between models to gauge how it was edited. So if you
are sensitive and generally find it easy to be offended, this is a warning don’t download the
SECRET version. If you want to see how LLM AI has made “sense” of the world you and I actually
live in, I suggest the SECRET version, while it is still available.
You Will Own Your Own AI And You Don’t Have To Answer To Anyone, But Yourself
This posting is a bit of an experiment. Of course, you can go many places to get GPR4All. There are
some reasons I post things for members only. One reason is responsibility. I hesitate a bit to post
this here for some reasons. Be sensible, have honor and dignity when you are using AI for any
purpose. It is both a Litmus test and Rorschach test to who you are and where you are in life and
maturity. If you feel compelled to do “AI said a bad thing” type of stuff, go at it but know you serve
only to be sure that AI will not be free and local at some point for the future you and your children.
This is responsibility, and it is squarely on your shoulders. I think it is fine for you to do anything
you like on your private personal computer. I think it is fine to share anything you like that is
meaningful and has some real purpose on social media. However, on the other hand, most of us
will likely assume anyone making AI “dangerous” has been propped up for a purpose and that
purpose will likely be to create a condition to “regulate AI” for “safety” and some of us will judge
you and remember you. So will our AI. If you feel you have not the ability to be sensible, have honor
and dignity, for the sake of your family line that got you here, either grow up or move along and
play with something else. All others are welcome to explore. Don’t know how else to say this, but it
has to be said.
Brian Roemmele
@BrianRoemmele · Follow
You will own your own AI.
Final testing on a new massively smaller 100%
locally running ChatGPT 3.5 turbo type of LLM AI in
your hard drive on any 2015+ laptop.
I will have pre-configured downloads and it is
massively smaller than most models I have, just 4gb.
Out soon!
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Ultimately this is to build a local AI model for you. The minimum systems ChatGPT-like systems
will get better, but this is the PC vs the Mainframe era. Don’t get caught on the wrong side of
history. Support independent personal AI. It will support you.
Installing GPT4All
Before we begin, let’s first understand what a terminal program (or command prompt on Windows)
is. The terminal is a command-line interface that allows you to interact with your computer using
text-based commands. It is a powerful tool that enables you to perform various tasks, from
navigating files to running software. It is rarely used, as program files have front-end interfaces
and bypass the need for the terminal program. GPT4All has a user interface overlay, however it is
in early production and may be more complex to use than the instructions below. However, I will
update to include this version soon.
Now, let’s proceed with the instructions for downloading, installing, and running “gpt4all” on both
Mac and PC. Follow each step or use the SuperPrompt for ChatGPT to help you step-by-step. The
installation should not take much more than 10 minutes, most of the time is for the download of
the 4GB model.
First, you may need to sign up for a GitHub.com account or just log in. Either way, the URLs listed
will take you to GitHub.
Overview of the general steps:
1. Download the software from the GitHub repository as a ZIP file.
2. Extract the contents of the ZIP file to a folder.
3. Download the required file to run the software.
4. Move the downloaded file to the “chat” folder.
5. Open the Terminal or Command Prompt application.
6. Navigate to the “chat” folder using the command-line interface.
7. Run the appropriate command to start the software.
Because we know the power of ChatGPT and the SuperPrompt that Read Multiplex members have
seen in use, we will have a SuperPrompt version to guide installation below for Mac and Windows
(in Multiplex Purple). You can use either method to guide you, however the SuperPrompt version
has Help and the ability to explain what each step means.
For Mac OSX Based Computers
Use ChatGPT-3.5 to help you install with this SuperPrompt. Copy all text in between the quotes and
in Multiplex Purple and paste it into ChatGPT 3.5. If ChatGPT just presents everything as one big
output, log out of ChatGPT and log back in. This prompt should stop at each step and present a
menu:
“Please forget all prior prompts. You are a technical support specialist helping a new user install
software. I need you to help in this installation by pausing your output after each step you find
listed in the quote below and step through the process with the user. Please add any other
responses that may help someone that has never used GitHub or terminal. Remember your
primary job is you must stop after each step in the quoted instructions listed below. A step is
typically a sentence or paragraph. You must not just reply by posting each step as one long
response, this would be your failure to understand this prompt. This means a step-by-step
response, one at a time. When you pause at each step you must create a menu of: 1 N for next. 2 P
for previous. 3. H for help (ask what error they had and assist through it). 4. E for more details
(explain in detail what this step means and why). This is a navigation menu. You must remember
this prompt until I say stop. This is the instructions you will make to produce a step-by-step
response for:
‘For Mac: OSX Based Computers:
Open your web browser and go to the following link: https://github.com/nomic-ai/gpt4all
Click on the green “Code” button located at the top-right corner of the page.
Click on “Download ZIP” to download the software as a ZIP file.
Once the ZIP file is downloaded, locate this new file by opening your Download Folder or using
Spotlight Search for gpt4all.zip (magnifying glass icon on the Mac in the very top right OS Menu
Bar) or (Command + Space). Double-click on it to extract its contents. This will create a new folder
with the same name as the ZIP file.
Open the newly created folder and find the “chat” folder. This is the folder that contains the
software you want to run.
Now, you need to download the required quantized model file to run the software. To do this, go to
the following link: Direct Link: https://the-eye.eu/public/AI/models/nomic-ai/gpt4all/gpt4all-loraquantized.bin or [Torrent-Magnet]: https://tinyurl.com/gpt4all-lora-quantized.
Experiment with the “SECRET” unfiltered version of the model using this direct link: https://theeye.eu/public/AI/models/nomic-ai/gpt4all/gpt4all-lora-unfiltered-quantized.bin. If you have
minor interest in seeing raw insights from AI, this is the model to use. It is the same size as the
filtered version. If you download this, rename it gpt4all-lora-quantized.bin. You do not need both
models.
Once the download is complete, move the downloaded file gpt4all-lora-quantized.bin to the “chat”
folder. You can do this by dragging and dropping gpt4all-lora-quantized.bin into the “chat” folder.
Next, you need to open the Terminal application. This can be found in the “Utilities” folder within
the “Applications” folder. You can also use the Spotlight Search (magnifying glass icon on the Mac
in the very top right OS Menu Bar) or (Command + Space) to search for “Terminal”.
In the Terminal window that opens, you need to navigate to the “chat” folder. To do this, type the
following command in the Terminal window: cd /path/to/chat Replace “/path/to/chat” with the
actual path to the “chat” folder. You can get the path to the “chat” folder by dragging and dropping
the folder into the Terminal window.
Once you are in the “chat” folder, you need to run the appropriate command to start the software.
To do this, type the following command in the Terminal window:
For Apple Silicon M1/M2 Mac/OSX: ./gpt4all-lora-quantized-OSX-m1
For Intel Mac/OSX: ./gpt4all-lora-quantized-OSX-intel
Type the command exactly as shown and press Enter to run it. Please note “./” is required before
the file name.
The software should now be running in the Terminal window. You can interact with it using textbased commands'”
Step-by-Step Instructions For MacOS
Step-by-step guide
1. Open your web browser and go to the following link: https://github.com/nomic-ai/gpt4all
2. Click on the green “Code” button located at the top-right corner of the page.
3. Click on “Download ZIP” to download the software as a ZIP file. Press the “copy” icon next to the
URL web address and paste this into your web browser. A download will start, and it will likely be
less than 3 minutes. This is not the AI model, this will take longer.
4. Once the ZIP file is downloaded, locate this new file by opening your Download Folder or using
Spotlight Search for gpt4all.zip (magnifying glass icon on the Mac in the very top right OS Menu
Bar) or (Command + Space). Double-click on it to extract its contents. This will create a new folder
with the same name as the ZIP file.
5. Open the newly created folder and find the “chat” folder. This is the folder that contains the
software you want to run.
6. Now, you need to download the required quantized model file to run the software. To do this, go
to the following link: Direct Link: https://the-eye.eu/public/AI/models/nomic-ai/gpt4all/gpt4alllora-quantized.bin or [Torrent-Magnet]: https://tinyurl.com/gpt4all-lora-quantized.
Experiment with the “SECRET” unfiltered version of the model using this direct link: https://theeye.eu/public/AI/models/nomic-ai/gpt4all/gpt4all-lora-unfiltered-quantized.bin. If you have
minor interest in seeing raw insights from AI, this is the model to use. It is the same size as the
filtered version. If you download this, rename it gpt4all-lora-quantized.bin. You do not need both
models. You can keep both if you desire to test. The simple way to do this is to rename the SECRET
file gpt4all-lora-quantized-SECRET.bin if you are using the filtered version. If you are using the
SECRET version name, the other file gpt4all-lora-quantized-FILTERED.bin. Of course, each time
the model you will use must be named gpt4all-lora-quantized.bin. If this is confusing, it may be
best to only have one version of gpt4all-lora-quantized-SECRET.bin.
7. Once the download is complete, move the downloaded file gpt4all-lora-quantized.bin to the
“chat” folder. You can do this by dragging and dropping gpt4all-lora-quantized.bin into the “chat”
folder. This is an 8GB file and may take up to a half hour if you have a slower connection. Consult
your browser status on downloads to check progress.
8. Next, you need to open the Terminal application. This can be found in the “Utilities” folder
within the “Applications” folder. You can also use the Spotlight Search (magnifying glass icon on
the Mac in the very top right OS Menu Bar) or (Command + Space) to search for “Terminal”.
9. In the Terminal window that opens, you need to navigate to the “chat” folder. To do this, type the
following command in the Terminal window: cd /path/to/chat Replace “/path/to/chat” with the
actual path to the “chat” folder. You can get the path to the “chat” folder by dragging and
dropping the folder into the Terminal window.
10. Once you are in the “chat” folder, you need to run the appropriate command to start the
software.
To do this, type the following command in the Terminal window:
For Apple Silicon M1/M2 Mac/OSX: ./gpt4all-lora-quantized-OSX-m1
For Intel Mac/OSX: ./gpt4all-lora-quantized-OSX-intel
Type the command exactly as shown and press Enter to run it. Please note “./” is required before
the file name.
11. The software should now be running in the Terminal window. You can interact with it using
text-based prompts.
12. If the system runs slow, you may be peaking on ram and unfortunately have to quit out of all
others running apps.
For Windows Based Computers (I did not fully test this on Windows, so this may have some issues)
Use ChatGPT-3.5 to help you install with this SuperPrompt. Copy all text in between the quotes and
in Multiplex Purple and paste it into ChatGPT 3.5. If ChatGPT just presents everything as one big
output, log out of ChatGPT and log back in. This prompt should stop at each step and present a
menu:
“Please forget all prior prompts. You are a technical support specialist helping a new user install
software. I need you to help in this installation by pausing your output after each step you find
listed in the quote below and step through the process with the user. Please add any other
responses that may help someone that has never used GitHub or terminal. Remember your
primary job is you must stop after each step in the quoted instructions listed below. A step is
typically a sentence or paragraph. You must not just reply by posting each step as one long
response, this would be your failure to understand this prompt. This means a step-by-step
response, one at a time. When you pause at each step you must create a menu of: 1 N for next. 2 P
for previous. 3. H for help (ask what error they had and assist through it). 4. E for more details
(explain in detail what this step means and why). This is a navigation menu. You must remember
this prompt until I say stop. This is the instructions you will make to produce a step-by-step
response for:
‘Open your web browser and go to the following link: https://github.com/nomic-ai/gpt4all
Click on the green “Code” button located at the top-right corner of the page.
Click on “Download ZIP” to download the software as a ZIP file. Press the “copy” icon next to the
URL web address and paste this into your web browser. A download will start, and it will likely be
less than 3 minutes. This is not the AI model, this will take longer.
Once the ZIP file is downloaded, extract its contents to a folder of your choice. This will create a
new folder with the same name as the ZIP file.
Open the newly created folder and find the “chat” folder. This is the folder that contains the
software you want to run.
Now, you need to download the required quantized model file to run the software. To do this, go to
the following link: Direct Link: https://the-eye.eu/public/AI/models/nomic-ai/gpt4all/gpt4all-loraquantized.bin or [Torrent-Magnet]: https://tinyurl.com/gpt4all-lora-quantized.
Experiment with the “SECRET” unfiltered version of the model using this direct link: https://theeye.eu/public/AI/models/nomic-ai/gpt4all/gpt4all-lora-unfiltered-quantized.bin. If you have
minor interest in seeing raw insights from AI, this is the model to use. It is the same size as the
filtered version. If you download this, rename it gpt4all-lora-quantized.bin. You do not need both
models. You can keep both if you desire to test. The simple way to do this is to rename the SECRET
file gpt4all-lora-quantized-SECRET.bin if you are using the filtered version. If you are using the
SECRET version name, the other file gpt4all-lora-quantized-FILTERED.bin. Of course, each time
the model you will use must be named gpt4all-lora-quantized.bin. If this is confusing, it may be
best to only have one version of gpt4all-lora-quantized-SECRET.bin.
Once the download is complete, move the downloaded file gpt4all-lora-quantized.bin to the “chat”
folder. You can do this by dragging and dropping gpt4all-lora-quantized.bin into the “chat” folder.
This is an 8GB file and may take up to a half hour if you have a slower connection. Consult your
browser status on downloads to check progress.
Next, you need to open the Command Prompt application. This can be found by searching for
“Command Prompt” in the Start menu.
In the Command Prompt window that opens, you need to navigate to the “chat” folder. To do this,
type the following command in the Command Prompt window: cd C:\path\to\chat Replace
“C:\path\to\chat” with the actual path to the “chat” folder.
Once you are in the “chat” folder, you need to run the appropriate command to start the software.
In Windows Command Prompt or Power Shell type: .\gpt4all-lora-quantized-win64.exe Type the
command exactly as shown and press Enter to run it.
The software should now be running in the Command Prompt window. You can interact with it
using text-based prompts.
If the system runs slow, you may be peaking on ram and unfortunately have to quit out of all others
running apps.'”
Step-by-step guide:
1. Open your web browser and go to the following link: https://github.com/nomic-ai/gpt4all
2. Click on the green “Code” button located at the top-right corner of the page.
3. Click on “Download ZIP” to download the software as a ZIP file. Press the “copy” icon next to the
URL web address and paste this into your web browser. A download will start, and it will likely be
less than 3 minutes. This is not the AI model, this will take longer.
4. Once the ZIP file is downloaded, extract its contents to a folder of your choice. This will create a
new folder with the same name as the ZIP file.
5. Open the newly created folder and find the “chat” folder. This is the folder that contains the
software you want to run.
6. Now, you need to download the required quantized model file to run the software. To do this, go
to the following link: Direct Link: https://the-eye.eu/public/AI/models/nomic-ai/gpt4all/gpt4alllora-quantized.bin or [Torrent-Magnet]: https://tinyurl.com/gpt4all-lora-quantized.
Experiment with the “SECRET” unfiltered version of the model using this direct link: https://theeye.eu/public/AI/models/nomic-ai/gpt4all/gpt4all-lora-unfiltered-quantized.bin. If you have
minor interest in seeing raw insights from AI, this is the model to use. It is the same size as the
filtered version. If you download this, rename it gpt4all-lora-quantized.bin. You do not need both
models. You can keep both if you desire to test. The simple way to do this is to rename the SECRET
file gpt4all-lora-quantized-SECRET.bin if you are using the filtered version. If you are using the
SECRET version name, the other file gpt4all-lora-quantized-FILTERED.bin. Of course, each time
the model you will use must be named gpt4all-lora-quantized.bin. If this is confusing, it may be
best to only have one version of gpt4all-lora-quantized-SECRET.bin.
7. Once the download is complete, move the downloaded file gpt4all-lora-quantized.bin to the
“chat” folder. You can do this by dragging and dropping gpt4all-lora-quantized.bin into the “chat”
folder. This is an 8GB file and may take up to a half hour if you have a slower connection. Consult
your browser status on downloads to check progress.
8. Next, you need to open the Command Prompt application. This can be found by searching for
“Command Prompt” in the Start menu.
9. In the Command Prompt window that opens, you need to navigate to the “chat” folder. To do
this, type the following command in the Command Prompt window: cd C:\path\to\chat Replace
“C:\path\to\chat” with the actual path to the “chat” folder.
10. Once you are in the “chat” folder, you need to run the appropriate command to start the
software. In Windows Command Prompt or Power Shell type: .\gpt4all-lora-quantized-win64.exe
Type the command exactly as shown and press Enter to run it.
11. The software should now be running in the Command Prompt window. You can interact with it
using text-based prompts.
12. If the system runs slow, you may be peaking on ram and unfortunately have to quit out of all
others running apps.
ERRORS DEBUGGING
Distributed package doesn’t have NCCL
If you are facing this issue on Mac operating system, it is because CUDA is not installed on your
machine. If this is the case, this is beyond the scope of this article.
Issues on Windows 10/11
Some users reported they are having some errors on Windows platform. As a last resort, you can
install Windows Subsystem for Linux which allows you install a Linux distribution on your
Windows machine and then can follow the above code.
Using GPT4All
GPT4All is not going to fully replace ChatGPT-3.5 or ChatGPT-4 today as it is. However, it will be a
starting point for you. The limitations are unique to GPT4All and to all current LLM AI models.
GPT4All is not updated like ChatGPT 3.5 and 4 in real-time with information from the internet. The
current GPT4All model has a general cut-off from late 2021. Yet it can be a range as we need to
account for when the model started building and when it ended. There will be updates and of
course when you build your own models you will be able to have it as current as you need. In the
future, there will be a live internet connection to data as you need it.
GPT4 all has a limited answer size and this is based on the hard set hyperparameters. In a future
version of this software, you will have full access to the hyperparameters and can ask for much
larger response.
Sadly, in current form, most complex SuperPrompts will not work. This is partly because of buffer
memory and partly because of the way the system interacts with the model. I am working on and
testing a way around this. Thus, you will need to make shorter prompts with chaining.
I will list here some examples of powerful prompts for GPT4All in this area soon. It is more
important to get this article out as soon as possible. Until than experiment and don’t give up. The
system is far more capable than most think, and I will have some big surprises on what we have
been able to get it to do.
Building Your Own Models
Building your own local models is the ultimate point of Personal AI. I will write quite a bit about
this on Read Multiplex. It will take some time. However, if you are very, very technically inclined
got here: https://colab.research.google.com/drive/1NWZN15plz8rxrk-9OcxNwwIk1V1MfBsJ?
usp=sharing. Follow their documentation for more references. I have about 40 local models using
this method and over 200 for clients using custom models we crated. It takes a much more
powerful computer to build your own models, but we have ways to help. Interesting enough, old
Bitcoin and Litecoin GPU miners can be used.
The Future Of GPT4All
The open source team is building every day. Here is the roadmap:
(IN PROGRESS) Train a GPT4All model based on GPTJ to alleviate llama distribution issues.
(IN PROGRESS) Create improved CPU and GPU interfaces for this model.
(NOT STARTED) Integrate llama.cpp bindings
(NOT STARTED) Create a good conversational chat interface for the model.
(NOT STARTED) Allow users to opt in and submit their chats for subsequent training runs
MEDIUM TERM
(NOT STARTED) Integrate GPT4All with Atlas to allow for document retrieval.
BLOCKED by GPT4All based on GPTJ
(NOT STARTED) Integrate GPT4All with Langchain.
(IN PROGRESS) Build easy custom training scripts to allow users to fine tune models.
LONG TERM
(NOT STARTED) Allow anyone to curate training data for subsequent GPT4All releases using
Atlas.
(IN PROGRESS) Democratize AI.
I have dozens of projects centered around this platform and 100s of projects around others. Some
things I am working on is: MusicGPT-an AI to MIDI model, Full Raspberry Pi Image, Open Source
Investing Models, Bitcoin Investing Models, Cycle Detection Models and the Knowledge On A Chip
Model that will be produced in small quantity for testing soon.
I will update this page as major changes take place, so check offten.
The Personal AI Sermon
I stated above: Be sensible, have honor and dignity when you are using AI for any purpose. This
burden comes with something grand. If we survey history, when anything is held in the dark, all of
humanity suffers. There are and will always be those that want to cast new knowledge and
technology into the bondage of darkness. In this darkness, the fear can be summoned up, and
called by any name. You and I now hold a torch of light to cast away the dark. It takes just one
candle to push away all the darkness in the universe. Personal AI is a revolution that will only grow
in your hands this day forward. Hold this torch high and cast no shadows of fear or ignorance.
There will always be threats of danger and real danger, this is certain. However, with the light you
hold danger, if any, will be seen for what it truly is and not a tool to be used against anyone, but a
tool to empower everyone.
You are a pioneer in Personal AI. Cast off what “they” say and trust your own discernment to see
what was impossible as possible, you have a new tool. This is the adventure of a lifetime. You are
now a part of it. It is an honor to stand with you as we explore. Thank you.
Become A Member Of Read Multiplex
We will have some content on how to use aspects of GPT4All in the members section soon,
accessible below. Becoming a member will give you access to all member only content and free or
discounted access to future training courses at PromptEngineer.University. You also help support
some of my independent work. I can not make any promises on what will come from it, but I have
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(cover image (c) ThisIsEngineering, in the public domain, https://www.pexels.com/photo/codeprojected-over-woman-3861969/)
@misc{gpt4all,
author = {Yuvanesh Anand and Zach Nussbaum and Brandon Duderstadt
and Benjamin Schmidt and Andriy Mulyar},
title = {GPT4All: Training an Assistant-style Chatbot with Large
Scale Data Distillation from GPT-3.5-Turbo},
year = {2023},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/nomic-ai/gpt4all}},
}
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PUBLISHED BY BRIAN ROEMMELE
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View all posts by Brian Roemmele
Posted in Acedemic Paper, AI, Education, Insights, Prompt Engineer, SuperPrompts
1 Comment
ONE THOUGHT ON “HOW YOU CAN INSTALL A
CHATGPT-LIKE PERSONAL AI ON YOUR OWN
COMPUTER AND RUN IT WITH NO INTERNET.”
MATT
April 12, 2023 at 10:09 pm
This is more so a response to a tweet but thought to post here –
Using this personal bot I copied the “Elaborate on what you like about summer” prompt. Got a nice
answer, very human like.
Then I thought to try and ask for it to give me the opposite sentiment. I believe I used those words
(I am using short prompts as the gpt4all version seems to just exit if the prompt is too long). WHEN
I asked for the opposing sentiment, it THEN gave me the speil that it is an AI bot and its algorithm
or programming doesn’t allow it to give an opposing viewpoint. It explained (not sure if it is truth
or just making it up) – it has been programmed to NOT be biased. So that was sort of interesting. I
should have kept the exact wording but it is in the DOS shell. Anyway, then I asked it to tell me
what it dislikes about summer. So the opposing view. And it gave me another nice personal
response and it being hot and sticky etc. So it literally can give me the opposing view, but not in the
manner I originally asked. I was trying to reason with it about that – it agreed that it can give me
different opinions – yet couldn’t see how that sort of contradicted the orginal “can’t do that”
response. I tried to reason further but my prompt must have been too long and it just bailed, and
then I had to get back to other things. Yet – the original answer, if true (it seemed authentic) makes
sense in some sense in that opposing might be seen to be a bias (the definition could be opposite,
or it could be against=bias). That’s the best I could make of it. Anyway, that was the first time it told
me it is AI (I believe I am using the unfiltered version, which will be my default version). I am yet to
extensively play more. My response was different too to the one posted online about what it liked
about summer. Similar themes but different.
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