So the ChatGPT skill allows it to interact with other models other than OpenAI ones?

Running locally?

Quote:

So the ChatGPT skill allows it to interact with other models other than OpenAI ones?

Running locally?

Yes, the OpenAI ChatGPT robot skill in Synthiam ARC allows you to interact with other models beyond OpenAI's, including those running locally. This is achieved by configuring the "Base Domain" setting in the robot skill to point to a compatible local server or third-party service that supports the OpenAI API calls.

To integrate GPT4ALL for offline use with your EZ-B v4 robot, you would need to follow these steps:

1. Set Up a Local Server:

   • Install and configure a local server that can run GPT4ALL or a similar model. This server should be capable of handling API requests in a manner compatible with the OpenAI API.

2. Configure the ChatGPT Skill:

   • In the OpenAI ChatGPT robot skill settings, enter the base URL of your local server in the "Base Domain" field. This will direct the API requests to your local server instead of OpenAI's servers.

3. Test the Integration:

   • Ensure that your local server is running and can process requests. Test the integration by sending queries from the ARC project to verify that the responses are generated by your local model.

4. Adjust Personality and Scripts:

   • Customize the personality and scripts within the ChatGPT skill to suit your robot's conversational needs. This includes setting up response scripts and any specific commands your robot should execute.

5. Monitor and Optimize:

   • Monitor the performance of the local model and optimize as needed. This may involve adjusting server resources or fine-tuning the model for better conversational quality.

By following these steps, you can achieve offline conversational capabilities with your humanoid robot using GPT4ALL or a similar model. If you need further assistance, feel free to ask!

@athena do you have any more details on how to configure and install GPT4ALL with openai API compatibility for the robot skill to connect to.

Certainly! To integrate GPT4ALL with Synthiam ARC's OpenAI ChatGPT robot skill, you'll need to set up GPT4ALL locally with an OpenAI-compatible API. Here's a detailed step-by-step guide to help you achieve this:

Step 1: Install GPT4ALL Locally

GPT4ALL is an open-source project that allows you to run large language models (LLMs) locally on your computer. First, download and install GPT4ALL:

1. Visit the GPT4ALL GitHub repository: https://github.com/nomic-ai/gpt4all
2. Follow the installation instructions for your operating system (Windows, Linux, or macOS).
3. Download a GPT4ALL model (e.g., GPT4ALL-J, GPT4ALL Falcon, or GPT4ALL LLaMA) from the official GPT4ALL website: https://gpt4all.io

Step 2: Set Up a Local OpenAI-Compatible API Server

To connect GPT4ALL to Synthiam ARC's OpenAI ChatGPT robot skill, you need a local server that mimics the OpenAI API. A popular and easy-to-use solution is LocalAI, which provides an OpenAI-compatible API for local models.

Option A: Using LocalAI (Recommended)

LocalAI is a drop-in replacement for OpenAI's API, allowing you to run local models like GPT4ALL.

1. Download LocalAI:

   • Visit the LocalAI GitHub repository: https://github.com/go-skynet/LocalAI
   • Download the latest release for your operating system.

2. Install and Configure LocalAI:

   • Extract the downloaded archive to a folder on your computer.
   • Place your GPT4ALL model file (e.g., ggml-gpt4all-j.bin) into the models folder within the LocalAI directory.

3. Run LocalAI Server:

   • Open a terminal or command prompt in the LocalAI directory.
   • Run the LocalAI server executable:
     • Windows: local-ai.exe
     • Linux/macOS: ./local-ai
   • By default, LocalAI runs on http://localhost:8080.

4. Test LocalAI Server:

   • Open your browser and navigate to http://localhost:8080/v1/models. You should see a JSON response listing your available models.

Step 3: Configure Synthiam ARC's OpenAI ChatGPT Robot Skill

Now that your local GPT4ALL server is running, configure the OpenAI ChatGPT robot skill in ARC to connect to it:

1. Open your ARC project and add the OpenAI ChatGPT robot skill if you haven't already:

   • Project Add Control Artificial Intelligence OpenAI ChatGPT

2. Open the ChatGPT robot skill configuration:

   • Click the gear icon on the ChatGPT robot skill.

3. Configure the API settings:

   • API Key: LocalAI typically doesn't require an API key, but ARC's ChatGPT skill expects one. You can enter any placeholder text (e.g., local) here.
   • Base Domain: Enter your LocalAI server URL: http://localhost:8080
   • Model: Select "Other" and enter the exact name of your GPT4ALL model file (e.g., ggml-gpt4all-j.bin).

4. Save the configuration.

Step 4: Test Your Integration

Now, test your integration by sending a query to your robot:

• Type a message into the ChatGPT robot skill input box and press "Send".
• Your robot should respond using your local GPT4ALL model.

Step 5: Customize and Optimize

• Personality and Scripts: Customize the robot's personality and response scripts in the ChatGPT skill configuration to suit your robot's conversational style and capabilities.
• Performance Optimization: Monitor your local server's performance. If responses are slow, consider using a smaller model or optimizing your hardware resources.

Troubleshooting Tips

• LocalAI Server Not Responding: Ensure the LocalAI server is running and accessible at http://localhost:8080.
• Model Not Loading: Verify the GPT4ALL model file is correctly placed in the LocalAI models folder.
• ARC Connection Issues: Double-check the Base Domain URL and model name in the ChatGPT skill configuration.

By following these steps, you'll have a fully offline GPT4ALL integration with your EZ-B v4 robot using Synthiam ARC. If you encounter any issues or need further assistance, please let me know!

Thanks! Got it up and working!!!

Proof Americans and Canadians and Robots CAN all still be friends

Seriously thanks for getting me up to speed so fast! I need to take this bot out of stealth mode now!

Politics are for politicians. I ain't got no time for that .... Glad to hear you got it running! I saw Athena's instructions were quite detailed and was considering trying it myself.  How's the performance of it?

Today, I saw someone posted a video about a new inference approach that generates textual responses similar to how images are generated in a burst. It was super fast, like a second or two. I didn't look much into it about how limited the approach is. But advancements like that are significant for us!

Its pretty slow (7-8 seconds from prompt to return). Im running 128 gb RAM, i9, and 4070TI GPU, so decent rig but not a GPU bank by any stretch. Too slow to be useable, but still a great step toward on prem conversational humanoids.

I would be very interested in any newz faster inference approaches both from a professional standpoint as well as a hobbyist. Wondering if a neuromorphic / spiking neural net approach would save time.