ChatGPT 4 Turbo Tutorial – Open AI Master


OpenAI announced the ChatGPT 4 Turbo model at its developer conference called DevDay, which brings new features to users. GPT-4 Turbo is capable of a larger context window and is said to be trained on recent training data and computer vision integration. Additionally, the usability of Azure OpenAI Studiochat platforms for a codeless approach to experimenting with the GPT-4 model helps users with multi-language examples for programmatically using the Chat Completion API.

The chatbot, which uses the GPT-4 API in Node.js, provides the basics of setting an API key, creating a promo, sending requests, and receiving responses from the API. In addition, the GPT-4 Turbo model provides users with a guide to the 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 until April 2023.

GPT-4 turbo

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

  • You can use it to solve 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 speed limit of 20 requests per minute, which translates to 100 requests per day.

GPT-4 Turbo is one of the powerful language models that allows users to 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

Fashion model Context Enter 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 indicates the price reduction of the GPT-4 Turbo, which is now more affordable for developers and can still take promotions equivalent to about 300 pages of text. This translated into 96,000 words, meaning it led to a much longer conversation without the AI ​​assistant losing its short-term memory of the topic.

GPT-4 Turbo API

OpenAI is designed to remain versatile enough to build a wide range of applications. Some examples of the GPT-4 Turbo API can be found here.

  • Chatbot: You can use AI to build chatbots that can understand and respond to users’ questions in a natural, human-like way.
  • Summarize content: APIs can be used to create applications to summarize complex and long content, such as new articles or research papers.
  • Personal Assistant: This AI-powered assistant helps users manage schedulers, send emails, set reminders, and more.
  • Data analytics app: You can create a data analytics app using the GPT-4 Turbo API.
  • Coding Assistants: AGI can be used to assist with coding by providing suggestions and corrections.

How to use GPT-4 Turbo

It is very similar to OpenAI’s GPT API, so developers can integrate and use it effectively.

OpenAI’s GPT-4 Turbo supports a new feature called JSON Mode, which provides 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 take advantage of 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 of any article into a vector database. A query allows you to answer with context and return relevant resources.
  5. Summarizing and reporting also include AI in a data pipeline, where APIs are more suitable.

Remark: Enabling JSON also leads to errors, so it’s 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, impacting app developers that cost less than three times as much.

  1. Starting with accessing the GPT-4 Turbo API from the OpenAI platform.
  2. Then, with the GPT-4 Turbo model, configure the GPT-4-1106 preview to access the API.
  3. Then set the prompt or refinement you want to use with the model to complete.
  4. Now call the API with the prompt, which then returns a response after the model completes the prompt.
  5. Once the API is successfully called, some actions or responses are returned.

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

🌟Do you have any burning questions left? ChatGPT 4 Turbo? Do you need some extra help with AI tools or something else?

💡 Feel free to send an email to Romeshwar, our expert at OpenAIMaster. Send your questions to and Romeshwar will be happy to help you!

Leave a Comment