Все, о новой нейросети GPT 4 Turbo за 4 минуты!
TLDRIn their inaugural AI developer presentation, OpenAI introduced GPT-4 Turbo, a groundbreaking enhancement of its neural network. This version focuses on six key improvements: extended context support up to 128,000 tokens, advanced control with JSON responses, enriched world knowledge with updated databases and document uploads, image processing capabilities, superior text-to-speech with six natural voices, and Whisper V3 for improved speech recognition. Additionally, GPT-4 Turbo offers customizability, increased token limits, copyright protection, and significantly reduced costs. OpenAI also revealed future directions, including a focus on speed improvements and the launch of GPTs for creating personalized ChatGPT versions. The presentation emphasized iterative development for safety and hinted at exciting future innovations.
Takeaways
- 😀 OpenAI introduced GPT-4 Turbo, focusing on enhancing developer experiences with AI.
- 🚀 Contextual importance highlighted: GPT-4 Turbo supports up to 128,000 tokens, equivalent to about 300 book pages.
- 🔧 Greater control for developers through JSON-based responses, facilitating multiple function calls simultaneously.
- 🌍 Improved world knowledge: Developers can enhance GPT's understanding by uploading documents or connecting to databases, updated to April 2023.
- 🖼️ Introduction of image input via API, allowing developers to integrate GPT-4 Turbo for image processing applications.
- 🗣️ Enhanced text-to-speech mechanism with 6 more natural sounding voices, aiding in language learning and voice assistance.
- 🔊 Whisper V3 launched: A new version of the open-source speech recognition model with improved multi-language performance.
- 👥 Customization through the Custom Models program, enabling finer neural network tuning for specific niches.
- ⏩ Doubled token limits per minute and adjustable account settings for better resource management.
- 🛡️ Copyright Shield mechanism to protect clients' copyrights and cover litigation expenses.
- 💸 GPT-4 Turbo offered at significantly lower prices, providing three times more input tokens and double the output tokens for the same cost.
- 🚅 Future focus on neural network speed improvement, reflecting a collaboration boost with Microsoft.
- 🔄 Simplified model selection process, eliminating the need for dropdown menus in the user interface.
- 🛠️ Announcement of GPTs, a tool for creating custom versions of ChatGPT for practical daily applications.
- 🏬 Launch of GPT Store, rewarding creators of popular and useful GPT applications with a share of revenue.
Q & A
What is the new feature regarding context in GPT-4 Turbo?
-GPT-4 Turbo supports up to 128,000 tokens, which allows the network to process inputs equivalent to approximately 300 book pages.
How has control been improved in GPT-4 Turbo?
-Developers now receive responses in JSON format, enabling them to call multiple functions simultaneously. This feature is available in the beta version of GPT.
What enhancements have been made to GPT's knowledge of the world?
-GPT's world knowledge has been improved by allowing the upload of custom documents or connecting to databases. The database has been updated to April 2023, from previously working on information up to September 2021.
How does GPT-4 Turbo handle input data differently?
-GPT-4 Turbo has been taught to accept images as input data through an API, enabling developers to integrate it into their software for various applications, like processing photos for the visually impaired.
What improvements have been made to text-to-speech in GPT-4 Turbo?
-The text-to-speech mechanism has been improved and is now attached to an API for third-party developers, offering 6 more natural sounding voices to facilitate language learning or voice assistance.
What is Whisper V3 and its improvements?
-Whisper V3 is the latest version of the open-source speech recognition model, which has seen performance enhancements across many languages.
How does the Custom Models program benefit developers?
-The Custom Models program allows companies and developers to more finely tune the neural network to their specific niche, providing greater customization.
What changes have been made to token limits in GPT-4 Turbo?
-The number of tokens used per minute has been doubled, and now this parameter can be adjusted in the account settings.
What is the purpose of the Copyright Shield introduced by OpenAI?
-Copyright Shield aims to protect the copyright of OpenAI's clients and will cover the costs associated with legal claims in case of copyright infringement.
How has the pricing of GPT-4 Turbo been made more competitive?
-GPT-4 Turbo is being sold significantly cheaper, allowing developers to purchase three times more input tokens for the same price, at 1 cent per thousand tokens, and twice as many output tokens at 3 cents per thousand, making the use of a more advanced neural network 2.75 times cheaper.
What is GPTs and how does it benefit everyday life?
-GPTs is a new tool for creating custom versions of ChatGPT that can be more useful in daily life. It enables, for instance, educational services like Code.org to create their own assistant to help teachers create more engaging programs for students.
Outlines
🚀 Introduction to GPT 4 Turbo
OpenAI recently unveiled GPT 4 Turbo during their first presentation for AI developers, focusing on enhancing the neural network's capabilities across six key aspects. The update includes support for up to 128,000 tokens, equivalent to roughly 300 book pages, offering developers more control with JSON responses and the ability to call multiple functions simultaneously. Enhancements include better world knowledge with up-to-date databases until April 2023, new methods of operation like image processing through API, improved text-to-speech mechanism with six more natural voices, and Whisper V3 for better multilingual speech recognition. GPT 4 Turbo also introduces customization through Custom Models, higher token limits per minute, and a Copyright Shield to protect client copyrights. OpenAI promises a more affordable pricing model for GPT 4 Turbo, making advanced neural network use more cost-effective. The presentation emphasized OpenAI's commitment to gradual, iterative development for safety and teased future advancements that will make today's innovations seem primitive in comparison.
Mindmap
Keywords
💡GPT 4 Turbo
💡Context size
💡JSON responses
💡World knowledge
💡Image inputs
💡Text-to-speech
💡Whisper V3
💡Custom Models program
💡Token limits
💡Copyright Shield
Highlights
OpenAI conducted its first AI developer presentation.
Introduction of GPT 4 Turbo focused on 6 aspects.
Turbo supports up to 128,000 tokens, equivalent to approximately 300 book pages.
Enhanced control for developers with responses in JSON format.
Ability to improve GPT's world knowledge by uploading documents or connecting databases.
Introduction of image input through API with GPT 4 Turbo.
Improvement of text-to-speech mechanism, offering 6 more natural voices.
Introduction of Whisper V3 for better speech recognition performance.
Custom Models program allows for finer tuning of the neural network.
Doubled the number of tokens used per minute with adjustable account settings.
Launch of Copyright Shield to protect client copyrights.
GPT 4 Turbo priced significantly lower, offering more tokens for the same price.
Focus on neural network speed improvements.
GPTs tool announced for creating custom versions of ChatGPT.
Launch of GPT Store, rewarding creators of popular and useful GPT models.
