I'm testing the different models for OpenAI, and I noticed that not all of them are developed or trained enough to give a reliable response.
The models I tested are the following:
model_engine = "text-davinci-003" model_engine = "davinci" model_engine = "curie" model_engine = "babbage" model_engine = "ada"
I need to understand what the difference is between davinci
and text-davinci-003
, and how to improve the responses to match that response when you use ChatGPT.
2 Answers
I'll complement Rok Benko's answer with this great visual summary by Yao Fu <[email protected]>:
TL;DR
text-davinci-003
is the newer and more capable model thandavinci
text-davinci-003
supports a longer context window thandavinci
text-davinci-003
was trained on a more recent dataset thandavinci
text-davinci-003
is cheaper thandavinci
text-davinci-003
is not available for fine-tuning, whiledavinci
is
Capabilities
As stated in the official OpenAI article:
While both davinci
and text-davinci-003
are powerful models, they differ in a few key ways.
text-davinci-003
is the newer and more capable model, designed specifically for instruction-following tasks. This enables it to respond concisely and more accurately - even in zero-shot scenarios, i.e. without the need for any examples given in the prompt. davinci
, on the other hand, can be fine-tuned on a specific task, which can make it very effective if you have access to at least a few hundred training examples.
Additionally, text-davinci-003
supports a longer context window (max prompt+completion length) than davinci - 4097 tokens compared to davinci
's 2049.
Finally, text-davinci-003
was trained on a more recent dataset, containing data up to June 2021. These updates, along with its support for Inserting text, make text-davinci-003
a particularly versatile and powerful model we recommend for most use-cases.
Use text-davinci-003
because the other models you mentioned in your question are less capable.
If you buy a ChatGPT Plus subscription, you can also use gpt-3.5-turbo
or gpt-4
. So, to get similar responses as you get from ChatGPT, it depends on whether you are subscribed or not. For sure, gpt-3.5-turbo
and gpt-4
are even more capable than text-davinci-003
.
Costs
text-davinci-003
is cheaper than davinci
, as stated on the official OpenAI website:
MODEL | USAGE |
---|---|
davinci | $0.1200 / 1K tokens |
text-davinci-003 | $0.0200 / 1K tokens |
Fine-tuning availability
text-davinci-003
is not available for fine-tuning, while davinci
is, as stated in the official OpenAI documentation:
Fine-tuning is currently only available for the following base models: davinci
, curie
, babbage
, and ada
. These are the original models that do not have any instruction following training (like text-davinci-003
does for example).
MODEL | FINE-TUNING AVAILABILITY | TRAINING |
---|---|---|
davinci | Yes | $0.0300 / 1K tokens |
text-davinci-003 | No |
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