OpenAI’s new GPT 3.5 Instruct

OpenAI has unveiled a new and advanced model, “gpt-3.5-turbo-instruct“, designed to seamlessly interpret and execute instructions. The new model, which is now the default language models accessible on our API, is engineered to provide coherent and contextually relevant responses, making it a versatile asset for a range of applications. In this article, we’ll explore the functionalities and distinctive features of gpt-3.5-turbo-instruct and discuss why OpenAI embarked on the development of this model.

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Why OpenAI Developed gpt-3.5-turbo-instruct:

According to openAI, the release of gpt-3.5-turbo-instruct is a big leap to improve users interaction with its models. It was trained to address problems older models had, giving clearer and more on-point answers. This makes it a good fit for all kinds of uses, whether you know a lot about tech or not.

What’s new?

gpt-3.5-turbo-instruct model is a refined version of the GPT-3, designed to perform natural language tasks with heightened accuracy and reduced toxicity. The GPT-3 models, while revolutionary, had a propensity to generate outputs that could be untruthful or harmful, reflecting the vast and varied nature of their training data sourced from the Internet.

Difference between GPT-3 and gpt-3.5-turbo-instruct models

To mitigate these issues and align the models more closely with user needs, OpenAI has employed reinforcement learning from human feedback (RLHF), a technique involving real-world demonstrations and evaluations by human labelers. This approach has enabled the fine-tuning of the model, making it more adept at following instructions and reducing the generation of incorrect or harmful outputs.

GPT-3 vs GPT-3.5 Turbo Instruct

The gpt-3.5-turbo-instruct diverges from its predecessor, GPT-3.5, in its core functionality. It is not designed to simulate conversations but is rather fine-tuned to excel in providing direct answers to queries or completing text. OpenAI asserts that this model maintains the speed efficiency synonymous with GPT-3.5-turbo.

Model NameUse CasesAdvantagesBest forMax Tokens
gpt-3.5-turboNatural language or code generationMost capable and cost-effective, optimized for chat, receives regular updatesTraditional completions & chat interactions4,097
gpt-3.5-turbo-16kNatural language or code generationOffers 4 times the context compared to the standard modelScenarios requiring extended context16,385
gpt-3.5-turbo-instructNatural language or code generationCompatible with legacy Completions endpoint, similar capabilities as text-davinci-003Instruction-following tasks4,097
gpt-3.5-turbo-0613Natural language or code generationIncludes function calling data, snapshot of gpt-3.5-turbo from June 13th 2023Function calling data needs4,097
gpt-3.5-turbo-16k-0613Natural language or code generationSnapshot of gpt-3.5-turbo-16k from June 13th 2023Scenarios requiring extended context16,385
gpt-3.5-turbo-0301Natural language or code generationSnapshot of gpt-3.5-turbo from March 1st 20234,097
text-davinci-003Any language taskHigh-quality, longer output, consistent instruction-following, supports additional featuresDiverse language tasks4,097
text-davinci-002Any language taskTrained with supervised fine-tuning4,097
code-davinci-002Code-completion tasksOptimized for code-completion tasksCode-completion tasks8,001
GPT-3 vs GPT Instruct

The table above provides a concise overview of various models developed by OpenAI, each with unique capabilities and optimizations. It outlines the specific use cases, advantages, and maximum tokens for each model, offering insights into their functionalities and optimal applications. The models range from those optimized for natural language or code generation, like gpt-3.5-turbo and its variants, to those specialized in diverse language tasks and code-completion tasks, like text-davinci-003 and code-davinci-002.

How to Use gpt-3.5-turbo-instruct Model with Python

gpt-3.5-turbo-instruct is a completion model, hence you will need to use the completion function to get responses.

To interact with gpt-3.5-turbo-instruct using Python, you can refer to the following simplified code snippet.

Install the openai pip library

pip install openai

Import openai in your Python file

import openai
openai.api_key = "sk......." #Your openai API key
prompt = "Explain the concept of infinite universe to a 5th grader in a few sentences"

OPENA_AI_MODEL = "gpt-3.5-turbo-instruct"

response = openai.Completion.create(


InstructGPT-3.5 answer is below:

An infinite universe means that the universe is never-ending and has no boundaries. It keeps going and going, and we will never reach the end of it no matter how far we travel. Just like numbers go on forever, the universe goes on forever too. It's like a huge never-ending playground of planets, stars, and galaxies.

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Posted on

September 21, 2023