OpenAI's GPT-3.5-turbo-instruct is a language model designed to excel in understanding and executing specific instructions efficiently. Unlike GPT-3.5-turbo, which is primarily geared towards engaging in conversations, GPT-3.5-turbo-instruct shines in completing various tasks and answering questions directly.
This new instruction language model is designed for efficiently following specific instructions, similar to the chat-focused GPT-3.5-turbo. It offers the same cost and performance as other GPT-3.5 models, all within a 4K context window, and it uses training data up to September 2021.
The primary goal of GPT-3.5-turbo-instruct is to effectively follow instructions. It is not meant to be a conversational model but rather a task-oriented one. This distinction sets it apart from chat models and makes it exceptionally efficient at providing precise responses. Whether you need specific tasks accomplished or have questions that require precise answers, this model has got you covered.
Perhaps the most notable distinction between GPT-3.5-turbo and GPT-3.5-turbo-instruct is their approach to interactions. While GPT-3.5-turbo is conversational and chatty, the Instruct variant is more task-oriented. It excels in following instructions without requiring additional prompts, making it an invaluable tool for specific tasks and queries.
The following image shows an OpenAI-designed differentiation between the Instruct and Chat models. The difference can have implications on how prompts need to be written for both the models.
You can use Clarifai’s LLM Battleground, a comparison module, to simultaneously compare GPT-3.5-turbo and GPT-3.5-turbo-instruct using different prompts across different tasks.
You can run GPT-3.5-Turbo-Instruct Model using the Clarifai's Python client.
Check out the Code Below:
You can also run GPT-3.5 Turbo Instruct Model using other Clarifai Client Libraries like Javascript, Java, cURL, NodeJS, PHP, etc here
Try out the GPT-3.5 Turbo Instruct model here: https://clarifai.com/openai/completion/models/gpt-3_5-turbo-instruct
OpenAI introduced Instruct models as a response to challenges seen in earlier models, such as hallucinations and the generation of inaccurate or harmful content. Instruct models were designed to reduce these issues and produce more truthful and safe responses.
Instruct models, including this new release, are a crucial foundation for the breakthroughs seen in ChatGPT, they are trained to follow instructions with human feedback using a powerful technique known as Reinforcement Learning from Human Feedback (RLHF). RLHF relies on human preferences as a reward signal to enhance the performance of language models. This is particularly crucial because the safety and alignment challenges being addressed are intricate and subjective, and they cannot be fully quantified through simplistic automatic metrics.
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