I want to know for academic purposes, what is the actual number of parameters present in GPT-4 and GPT-4V, both for the text generation system and the image reader.
#How many parameters does have ?
lucid peak
faint krakenBOT
Hi @lucid peak. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave:
Hmm, I don't know enough to give you a confident answer yet. The extracts provided do not specify the exact number of parameters for GPT-4 and GPT-4V. However, you can find more information about these models in the OpenAI documentation and system cards.
- GPT-4 Documentation (https://platform.openai.com/docs/models)
- GPT-4 with Vision system card (https://openai.com/contributions/gpt-4v)
Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:
lucid peak
@faint kraken which models are used in ChatGPT Plus accounts ?
faint krakenBOT
Let me check the knowledge base for you. One moment! :books:
ChatGPT Plus accounts have access to two models:
-
GPT-3.5: This is the default model and is available to both Free and Plus users. It is the fastest model and is suitable for most everyday tasks. Source (https://help.openai.com/en/articles/7864572-what-is-the-chatgpt-plus-model-selector)
-
GPT-4: This model is exclusively available to Plus users. It is the most capable model and is great for tasks that require creativity and advanced reasoning. Source (https://help.openai.com/en/articles/7864572-what-is-the-chatgpt-plus-model-selector)
To use GPT-4 in ChatGPT, Plus subscribers can select GPT-4 under the Model section on the ChatGPT website. Source (https://help.openai.com/en/articles/7127997-how-can-i-use-gpt-4-in-chatgpt)
Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:
lucid peak
@faint kraken 3.5 or 3.5 Turbo ? how can I test to figure out in my page?
faint krakenBOT
Let me check the knowledge base for you. One moment! :books:
To determine whether you're using GPT-3.5 or GPT-3.5 Turbo in your application, you can check the model parameter in your API calls. The model parameter is typically set when making a request to the OpenAI API. For example, if you're using the Chat Completions API, the model parameter might be set as gpt-3.5-turbo.
Here's an example of what an API call might look like:
response = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Who won the world series in 2020?"},
]
)
In this example, the model being used is gpt-3.5-turbo. If you're using gpt-3.5, it would be specified in the model parameter instead.
To test different models, you can simply change the model parameter in your API calls. For example, to use gpt-3.5-turbo-0125, you would set model="gpt-3.5-turbo-0125" in your API call.