OpenAI has released a new InstructGPT model following various cycles of optimizations and tweaks. GPT-3.5-Turbo-Instruct was released on September 18, 2023 in an attempt to launch a newer language model that will eventually replace OpenAI’s older instruct models such as text-babbage-001, text-ada-001, text-davinci, and text-curie-001 series LLMs. The performance of the new instruct model is slated to be similar to that of the GPT-3.5 model, albeit with better accuracy. As opposed to a primary focus on conversational dynamics, InstructGPT models aim to answer questions as accurately as possible while minimizing the risk of harmful and hallucinatory responses. Trained on user feedback, GPT-3.5-Turbo-Instruct is designed to be more efficient in its functioning and align with the requirements of its human users.
As OpenAI continues to make progress with flagship offerings like GPT-4, it also intends to create a constant stream of newer and better models embellished with the latest improvements to replace outdated series of products. The instruct stream of LLMs develops upon an existing base of the original model. As competitors like Google plan on releasing a highly efficient series of LLMs like Gemini, OpenAI intends to up its game by enhancing its extant offerings with a more productivity and efficiency-oriented approach. The upcoming sections broach the latest InstructGPT model from OpenAI and evaluate its features while contrasting it with the extant GPT-3.5 and GPT-4 models.
How is GPT-3.5-Turbo-Instruct Different from Other GPT Models?
GPT-3.5-Turbo-Instruct is modeled to respond to more straightforward prompts.
OpenAI claims that the GPT-3.5-Turbo-Instruct model is trained on similar protocols and deep learning models that were used for older Instruct variants. So far, the firm has not provided any benchmarks for the latest Instruct LLM. The new model is primarily based on the necessities of users looking to access direct responses to questions and to complete text portions with coherent continuing sentences. Much like an answering engine akin to Perplexity or YouChat, GPT-3.5-Turbo-Instruct can be useful for clients looking to deploy the model for creating straightforward research and search engine systems that rely on generative artificial intelligence to summarize search results. Unlike GPT-4 and GPT-3.5, the Instruct variant of GPT-3.5 Turbo is enhanced with extensive user feedback and is more optimized for interacting with users who have highly specific queries and requirements from their interactions with a language model chatbot. OpenAI makes it clear that the InstructGPT models are faster, more coherent, less likely to hallucinate, and more efficient than their base models. ChatGPT-3.5-Turbo-Instruct is an ideal LLM for a task-oriented approach with clear and concrete instructions.
However, the InstructGPT variants are not as flexible as their chat-oriented counterparts. The latter is capable of dealing with ambiguity and making sense of inherent contextual elements within user prompts. Prompt engineers and users looking to yield highly specific outputs from their chatbot might find the Instruct models to be more literal but quicker in responding to well-drafted prompts than the average model from OpenAI. GPT-3.5-Turbo-Instruct might also be better suited for automation tasks since they often function on repetitive and run-of-the-mill prompts that are clearly defined and straightforward. As AI safety gains prominence, Instruct models might promote better safety measures given that it’s bound to reduce the instances of bias and toxic responses that are capable of damaging the underlying model’s credibility.
The Technical Specifics of the Latest InstructGPT Model
The dataset and its cutoff date for GPT-3.5-Turbo-Instruct remains the same as GPT-3.5.
Instruct GPT models like the latest one are accurate and precise even if their parameter sizes are small. This makes it possible for users and companies to access a high-quality chatbot even if it’s running on a smaller LLM. GPT-3.5-Turbo-Instruct still has numerous similarities with the regular GPT-3.5 and GPT-4 models in the fact that its data remains restricted to September 2021. The feedback supported large language model has attained the 90th percentile among ranked chess players, showing its coherence and ability to carry out advanced reasoning tasks. While these GPT models are still no match for human-level critical and intuitive thinking, they’re considerable enhancements that allow AI to assist humans with complex tasks. There are rumors that the next set of experiments with GPT-3.5-Turbo-Instruct will be testing the LLM on spatial reasoning questions to make it a viable option for complex visualization-based tasks and challenges.
While several users are currently operating fine-tuned GPT-3.5 and GPT-3.5 Turbo models for their personal or commercial requirements, the launch of the new InstructGPT model necessitates another round of fine-tuning for better results and efficient functional outcomes. The new Instruct model is also nearly 10 times cheaper to run when compared to a regular base variant from OpenAI’s GPT series. The pricing and context lengths remain the same as those applied to GPT-3.5 Turbo. Moreover, Instruct models might also be more efficient at coding, given that OpenAI is already upping its game in the AI coding space with the launch of specialized plugins like Advanced Data Analysis. The ability to enter multiple prompts simultaneously as a basis for the model’s input also enhances user experience and provides users more leeway with specific prompts in yielding a detailed result from the LLM.
GPT-3.5-Turbo-Instruct Use Cases
The InstructGPT models can be used for various fine-tuning and automation tasks.
The primary use of the OpenAI’s GPT series of Instruct models is to aid customers with fine-tuning. Moreover, these models can also perform highly specific tasks that require natural language processing, coding and detecting errors in code, and completing sentences and strings of code, among others. Apart from these uses, InstructGPT models can also be utilized to solve mathematical problems and chessboard puzzles. GPT-3.5-Turbo-Instruct is multilingual like its base models and can generate responses in multiple languages, despite the core medium of its dataset being English. InstructGPT models are a great way of optimizing AI tools to suit human requirements. As OpenAI phases out older models in favor of the latest one, innovation and fine-tuning are bound to continue as the firm remains committed to progress and responsible AI protocols.
FAQs
1. How do InstructGPT models work?
OpenAI’s InstructGPT series is created by fine-tuning the models on an extensive database of human feedback. The human feedback allows the model to remain efficient, cheap, and lightweight. These models are better suited to straightforward commands rather than conversations.
2. How can one access the InstructGPT models?
OpenAI’s GPT-3.5-Turbo-Instruct can be accessed through the platform’s API service. Apart from the latest model, users can also access older InstructGPT models that will be phased out by the start of 2024.
3. What is the price of GPT-3.5-Turbo-Instruct?
GPT-3.5-Turbo-Instruct follows the same pricing model as OpenAI’s GPT-3.5 and GPT-4 models. While the former is priced at $0.002 per 1,000 tokens of input and output, GPT-4 is priced at $0.003 per 1,000 tokens for prompts and $0.006 per 1,000 tokens for outputs. For the 32K context model, the price is $0.06 per 1,000 tokens for prompts and $0.12 per 1,000 tokens for outputs.