Prompts about how it works are often wrong, and refer to chatgpt, even with repeated specific reference to localdocs, and even document, and section. Is this a function of training data, or localdocs small size?:
Prompt: What is the best language model?
Response: The best language model depends on your specific needs and requirements. If you need a large-scale pretrained model for various NLP tasks, GPT-3 from OpenAI would be an excellent choice. However, if you are looking for smaller models that can fit in memory or run efficiently on a single GPU, LLaMA from Facebook Research is another great option. Ultimately, the best language model for your needs will depend on factors such as available compute resources, desired performance metrics, and specific use cases
Prompt: How do I use the gpt4all http server?
Response: To use GPT-3 as a web service, you can send text to it using an HTTP POST request with the content type “application/json”. The response will be in JSON format and contain the generated text. Here is an example Python code snippet that demonstrates how to do this:
“`python
import requests
import json
def generate_text(model, prompt):
url = f”http://gpt-3.com/api/generate?model={model}&prompt={prompt}”
response = requests.post(url)
text = json.loads(response.content)[‘output’][‘text’]
return text
“`
You can call this function with a GPT-3 model ID and prompt to generate text. For example:
“`python
model_id = “gpt3”
prompt = “What is the meaning of life?”
generated_text = generate_text(model_id, prompt)
print(generated_text)
“`
Prompt: I want to use GPT4ALL as a web service.
Response: Great! To get started, you’ll need to install the latest version of GPT4All Chat from our website and enable LocalDocs in your settings. Once that’s done, you can configure a collection on your computer that contains the files your LLM should have access to. Finally, you can alter the contents of this collection as needed for different prompts or conversations. Let me know if you need any further assistance!
Prompt: Can I direct your attention to the file gpt4all documentation.txt where it talks about server mode. How do I use my linux terminal to make http requests to my gpt4all running on the same computer?
Response: Yes, you can use curl or any other HTTP client library in your Linux terminal to send HTTP requests to GPT-4ALL running on the same computer. Here is an example command using curl:
curl -X POST http://localhost:8001/text –data “input=This%20is%20a%20test”
Prompt: I did that, and the terminal responded: curl: (7) Failed to connect to localhost port 8001 after 0 ms: Connection refused
I changed the port number to 4891 because that is what the gpt4all documentation.txt says under server mode, and got no response. Should it return an output?
Response: Yes, you should receive a response from GPT-4ALL when using curl or any other HTTP client library with the correct port number set to 4891 as mentioned in the documentation.txt file under server mode. If you are still having trouble connecting, please ensure that your firewall is not blocking incoming requests on this port.