ChatGPT 4 Turbo Tutorial – Open AI Master


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OpenAI announced the ChatGPT 4 Turbo model during its developer conference called DevDay, which gives users new features. GPT-4 Turbo is capable of a larger context window and is said to have been trained on recent training data and computer vision integration. Furthermore, the usability of Azure OpenAI Studiochat platforms for a no-code approach to experimenting with the GPT-4 model helps users with samples in various languages for using the Chat Completion API programmatically.

The chatbot, which uses the GPT-4 API in Node.js, offers the basics of setting up an API key, creating a promo, and sending requests and receiving responses from the API. Moreover, the GPT-4 Turbo model gives users a guide to promotion structure, parameters, and response format.

What is ChatGPT 4 Turbo?

OpenAI’s latest generation GPT-4 Turbo model makes it capable and also updates its knowledge base up to April 2023.

GPT-4 Turbo

This does introduce 128K context windows that are equivalent to 300 pages of text in a single promo optimized for chat but also worked well for traditional completion tasks using the Chat Completions API.

  • You can use it to resolve difficult problems with greater accuracy compared to OpenAI’s previous models, which had more general knowledge and advanced reasoning capabilities.
  • Currently, it is only available through the OpenAI API for paying customers.
  • GPT-4 Turbo has a rate limit of 20 requests per minute, which translates into 100 requests per day.

GPT-4 Turbo is one of the powerful language models that can help users generate natural-language content using Natural Language Promotion. Compared to the older GPT-4 model, here are price comparisons and other things.

Price Comparison of the GPT-4 Turbo and GPT-4

Model Context Input Token Price Output Token Price
GPT-4 8K $0.03 $0.06
GPT-4 32K $0.06 $0.12
GPT-4 Turbo 4K $0.0015 $0.002
GPT-4 Turbo 16K $0.003 $0.004

This clearly suggests the price reduction of the GPT-4 Turbo, which is now more affordable to developers while remaining capable of taking promotions that are equivalent to around 300 pages of text. This translated into 96,000 words, meaning that it led to a much longer conversation without having the AI assistant lose its short-term memory of the topic at hand.

GPT-4 Turbo API

OpenAI has been designed to remain versatile enough to build a wide range of applications. Some of the examples of GPT-4 Turbo API are here.

  • Chatbot: You can use AI to build chatbots that can understand and respond to users’ queries in a natural, human-like manner.
  • Content Summarise: APIs can be used to create applications to summarise complex and long content, like new articles or research papers.
  • Personal Assistant: This AI-powered assistant helps users manage schedulers, send emails, set reminders, and more.
  • Data Analysis App: You can create a data analysis app using the GPT-4 Turbo API.
  • Coding Assistants: AGI can be used to help with coding, providing suggestions and corrections.

How to use GPT-4 Turbo

It is quite similar to OpenAI’s GPT API for developers to integrate and use effectively.

OpenAI’s GPT-4 Turbo supports a new feature called JSON Mode, which ensures the latest model response with valid JSON. If you are not aware of JSON, it is an open standard file format and data interchange format that is quite useful in web applications that transmit data.

  1. To enable JSON mode, you can use “responseformat to { type: “JSON object” }” to generate strings that are parsed into valid JSON to benefit from building structured data applications.
  2. Example of a Structured Data Application of the GPT-4 API:
  3. You can use it for customer feedback analysis to generate summaries, sentiment analysis, and recommendation-based feedback.
  4. Build a website AI assistant that can scrape the website and then convert the text from each article into a vector database. With a query, you can answer with context and return relevant sources.
  5. Summarization and reporting also include AI in a data pipeline, with APIs being more appropriate.

Note: Enabling JSON also leads to errors, so it is important to follow the correct syntax and guidelines.

How to Use GPT-4 Turbo in My Project

GPT-4 Turbo is the most advanced and cost-effective option compared to older GPT-4 models, which has implications for app developers that cost less than three times as much.

  1. Starting with getting access to the GPT-4 Turbo API from the OpenAI platform.
  2. Next, with the GPT-4 Turbo model, you will configure the GPT-4-1106-preview to begin accessing the API.
  3. After that, set up the prompt or refine that you want to use with the model to complete.
  4. Now, call the API with the prompt, which will then return a response following the model’s completion of the prompt.
  5. Once it successfully calls the API, it will return some actions or replies.

In addition to this, OpenAI launched its own AppStore called GPT-Store for developers to create and share their own GPT models. It is expected to feature creations by verified builders and GPTs that will become searchable and may appear on the leaderboards.

🌟 Do you have any burning questions about ChatGPT 4 Turbo? Need a little extra assistance with AI tools or anything else?

💡 Feel free to shoot an email over to Romeshwar, our expert at OpenAIMaster. Drop your queries at, and Romeshwar will be happy to assist you!

Discover the vast possibilities of AI tools by visiting our website at to delve deeper into this transformative technology.


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