OpnenAI Models comparison

Q1. # Q1. Tell me difference among the below models.

"""" gpt-4, gpt-4 turbo, gpt-3.5-turbo

gpt-3.5-turbo-instruct, babbage-002, davinci-002

text-davinci-003, text-davinci-002, davinci, curie, babbage, ada

"""

Ans: Here are the differences between the models mentioned above:

• GPT-4: This is the most advanced GPT model series OpenAI has on offer. It can handle significantly more tokens than GPT-3.5, which means it’s able to solve more difficult problems with greater accuracy. GPT-4 can analyze and comment on images and graphics, unlike GPT-3.5 which can only analyze text. Currently used by ChatGPT Plus ¹.

• GPT-4 Turbo: There is no official information available on this model. However, it is speculated that it is a faster version of GPT-4 ¹.

• GPT-3.5 Turbo: This is the best model in the GPT-3.5 series. It is faster than GPT-4 and more flexible than GPT Base. Currently used by the free version of ChatGPT ¹.

• GPT-3.5 Turbo Instruct: There is no official information available on this model. However, it is speculated that it is an InstructGPT model based on GPT-3.5 Turbo ⁴.

• Babbage-002: This is a smaller version of GPT-3. It has 1.5 billion parameters and is best suited for tasks that require less computational power ¹.

• Davinci-002: This is a larger version of GPT-3. It has 6 billion parameters and is best suited for tasks that require more computational power ¹.

• Text-Davinci-003: This is the largest GPT model series to date. It has 175 billion parameters and is capable of generating human-like text. It is best suited for tasks that require the highest level of computational power ¹.

• Text-Davinci-002: This is a smaller version of Text-Davinci-003. It has 13 billion parameters and is best suited for tasks that require less computational power ¹.

• Davinci: This is the largest GPT model series to date. It has 175 billion parameters and is capable of generating human-like text. It is best suited for tasks that require the highest level of computational power ¹.

• Curie: This is a smaller version of Davinci. It has 2.7 billion parameters and is best suited for tasks that require less computational power ¹.

• Babbage: This is a smaller version of GPT-3. It has 1.5 billion parameters and is best suited for tasks that require less computational power ¹.

• Ada: This is a smaller version of GPT-3. It has 1.2 billion parameters and is best suited for tasks that require less computational power ¹.

Based on your requirement, you can choose the model that best suits your needs. If you need a model that can generate human-like text, you can choose one of the Text-Davinci models. If you need a model that requires less computational power, you can choose one of the smaller models like Babbage or Curie ¹.

Sources: (1) GPT Base, GPT-3.5 Turbo & GPT-4: What's the difference? - Pluralsight. https://www.pluralsight.com/resources/blog/data/ai-gpt-models-differences. (2) OpenAI Platform. https://platform.openai.com/docs/model-index-for-researchers/models-referred-to-as-gpt-3-5. (3) GPT-3.5-turbo Vs GPT-4: Which One Is For You - Dataconomy. https://dataconomy.com/2023/06/[1](https://www.pluralsight.com/resources/blog/data/ai-gpt-models-differences)4/gpt-3-5-turbo-vs-gpt-4/. (4) GPT-3.5 vs. GPT-4: What's the Difference? | Bench Talk. https://www.mouser.in/blog/gpt-35-vs-gpt-4-difference.