prompter: What differences are there between ChatGPT and Instructional GPT?

assistant: Both ChatGPT and InstructGPT are auto-regressive large language models trained and made available by OpenAI. They are sibling models in the GPT-3.5 family and have been pretrained on natural language and code. They have also both been fine-tuned on human instructions and feedback.

The ChatGPT model and interface is optimized for use as a dialog agent by human users. It is available for free on a somewhat limited basis or can be purchased for a monthly fee. It has been trained specifically as a dialog agent and has enhanced safety measures to allow it to be exposed directly to end users.

The InstructGPT model is similar, but not identical, to the model that powers ChatGPT. It is not as restrictive as the ChatGPT model in terms of safety. It is not easily accessible to the public and is instead made available as a paid API. Requests to InstructGPT are billed based on the number of tokens returned, whereas ChatGPT is billed at a fixed monthly price regardless of usage.

Overall, these are very similar models that can be used for similar purposes, but ChatGPT is best suited for dialog with end users, while InstructGPT is useful for developers integrating API calls to a large language model into other applications.

prompter: Can you provide me some sample code to access the InstructGPT API in python?

assistant: Sure. Here is some sample code in Python to access the InstructGPT API:

import requests

# Set up the parameters
params = {
    "model": "instructgpt",
    "prompt": "What is the weather like in Seattle today?",
    "max_tokens": 100
}

# Make the request
response = requests.post("https://api.openai.com/v1/engines/instructgpt/completions", json=params)

# Check the response
if response.status_code == 200:
    # Get the response text
    response_text = response.json()["choices"][0]["text"]
    print(response_text)
else:
    print("Error: {}".format(response.text))

assistant: Sure, here is some sample Python code that you can use to access the InstructGPT API:


import requests

# Set up the API endpoint URL and API key
endpoint = 'https://api.instructgpt.com/complete'
api_key = '<your API key here>'

# Set up the text to be completed
text = 'The quick brown fox jumps over the'

# Set up the API request headers and payload
headers = {'Authorization': f'Bearer {api_key}'}
payload = {'text': text, 'max_tokens': 10, 'temperature': 0.5}

# Send the API request and get the response
response = requests.post(endpoint, headers=headers, json=payload)

# Print the completed text
if response.ok:
    data = response.json()
    completed_text = data['choices'][0]['text']
    print(f'Completed text: {completed_text}')
else:
    print(f'Error: {response.status_code}')


In this example, we use the requests library to send a POST request to the InstructGPT API endpoint, passing in the API key and the text to be completed as payload. We set the max_tokens and temperature parameters to control the length and creativity of the generated text.
If the API request is successful (status code 200), we parse the JSON response and print the completed text. If there is an error, we print the status code.
Note that you will need to replace <your API key here> with your actual API key in order for this code to work.

assistant: The main difference between ChatGPT and Instructional GPT is that ChatGPT is better suited for conversational applications, while Instructional GPT is better suited for providing explanations and descriptions. ChatGPT is able to generate more natural-sounding responses than Instructional GPT, and can provide more context-sensitive and personalized responses. Additionally, ChatGPT is more efficient and faster than Instructional GPT, and is able to generate text more quickly. On the other hand, Instructional GPT is more accurate and detailed, and is better at providing factually accurate information.

prompter: Why is InstructGPT more accurate?

assistant: Instructional GPT is more accurate because it is trained to generate text based on the information it has access to. This means that it can use all available information to generate an accurate response. Furthermore, Instructional GPT can use search results to gather additional information and supplement its answers with relevant snippets from them. This allows it to provide more detailed and accurate explanations and descriptions.

assistant: Both ChatGPT and InstructGPT are Transformer-based generative text models created by OpenAI. However, while ChatGPT was released in early 2023, InstructGPT is a year older. Both models were trained using Reinforcement Learning with Human Feedback (RLHF) to improve their capabilities in specific task categories. InstructGPT was trained to follow instructions provided by the user, and served as a predecessor to ChatGPT. ChatGPT was trained to be a more general chatbot with a wider range of capabilities, ranging from following instructions to do tasks to answering questions, holding conversations, and telling jokes.

prompter: Would the age of InstructGPT effect its ability to perform tasks in a continually developing world?

assistant: Yes, the age of InstructGPT could affect its ability to perform tasks in a continually developing world. As new technologies and trends emerge, InstructGPT may not be able to keep up with the changes. ChatGPT, on the other hand, was trained to be more general and adaptive, so it is better equipped to handle new tasks and environments.

assistant: There would be effects. Since InstructGPT can't easily receive new information once the training is done, it could have trouble responding to events after its release or correcting outdated information. Therefore, it might get confused or provide answers that are proved false recently.