Real-Time AI Assistants: Innovations and Cost Reduction Strategies

The emergence of real-time AI assistants promises to transform how we interact with technology daily.

### Real-Time AI Assistant: Key Innovations
An AI assistant app is emerging that can provide **real-time information and visualization**, such as stock data through APIs. The OpenAI Developer Conference has announced impressive technologies, with a focus on **real-time voice conversation** using the API Pro. The app's real-time processing is achieved through a **web socket connection**, enabling **seamless two-way communication** and **reducing latency**.

### The Future of AI-Driven Applications
Preparations are underway to create sophisticated AI-driven apps for both iPhones and Galaxies, with **real-time voice recognition and customer support**. These apps could **revolutionize daily tasks**, from placing orders in cafes to providing navigation and traffic updates in cars. The ability to **call functions for real-time information**, like the location of the **International Space Station**, showcases the potential for **seamless integration of AI with various services**.

### The Exciting Potential of Real-Time Function Calling
Real-time function calling can revolutionize app development by providing **immediate data interpretation and visual representation**, such as **real-time stock information**. This feature has the potential to create financial services and healthcare applications that utilize **real-time data for better decision-making**. OpenAI's real-time API, despite its higher cost, offers a **seamless processing method**, and the planned addition of **visual and video elements** could further expand its application potential.

### Caching Prompts and Cost Reduction in OpenAI's GPT
Caching prompts in OpenAI's GPT design helps remember and reuse inputs, **reducing token consumption by 50%** and **increasing processing speed**. The latest version, GPT-4, offers fine-tuned variations and automatic billing, making it **cost-effective for developers**. Model distillation is also used to reduce costs by creating **smaller, task-specific models** based on user data.

### Self-Improving Model Training and Fine-Tuning
The collected data is used to train a target model, with the process being **repeatable for self-improvement**. Evaluations are currently in beta, offering **free assessments up to seven times a week** until the year's end, with a promotional period providing **free tokens for fine-tuning**. The Vision 2 fine-tuning API supports training with both text and images, leading to **improved model accuracy** and **automation of various applications**.

### OpenAI's Developer Conference Highlights
OpenAI is offering fine-tuning for developers using the paid version, with **1 million training tokens available per day** until the end of October. The prompt generator in the playground allows users to create effective prompts, leading to a **wide distribution of GPTs** and popularizing their use. The conference aims to encourage app development, GPT creation, and API feature utilization, while also providing **cost-reduction opportunities** and support for **model distillation frameworks**.

### Revolutionizing AI with Real-Time Voice and Function Calling Capabilities
* 🤖 An innovative AI assistant application is on the horizon, capable of providing **real-time information and visualizations**, such as **stock prices** through API integration.
* 📅 Ahn Dae-gong from the Engineering Department introduces the OpenAI Developer Conference, highlighting **transformative announcements that could impact daily life significantly**.
* 🔊 The conference emphasizes the **importance of real-time voice conversation** enabled by the API Pro, which **enhances interaction beyond traditional voice APIs**.
* ⏳ Current AI voice conversation methods face limitations due to the **sequential processing** through models like Whisper and GPT-4, causing **delays and loss of emotional nuances**.
* 🌐 The integration of WebSockets allows for **continuous two-way communication**, reducing latency and facilitating **real-time interactions**, as demonstrated by a live conversation about weather updates.
* 💬 The new real-time API empowers developers to create applications that can handle **complex tasks**, such as **customer support** and **voice-activated commands** in various languages, enhancing **user experiences**.
* 💰 OpenAI's new features, including prompt caching and model distillation, aim to **reduce costs for developers while improving efficiency**, leading to the potential for **personalized and specialized AI applications**.
* 📸 The introduction of the **Vision 2 fine-tuning API** enables developers to train models with images, further expanding the capabilities of AI in **recognizing and interacting with visual data**.

세상이 또 한 번 바뀝니다... OpenAI 실시간 음성 모드부터 더 저렴하게 앱을 만들 수 있는 다양한 프레임워크까지!

공학박사 '에러'가 전하는
최신 공학/테크/IT/신기술

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