AI for Business Applications Quiz

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Questions and Answers

What types of large models can be used for AI applications according to the text?

  • LinkedIn models, Pinterest models, Snapchat models
  • Self-built models, OpenAI models like GPT3.5, other models like Wenshenyiyan (correct)
  • Facebook models, Instagram models, Twitter models
  • Google Translate models, Alexa models, Microsoft models

What are some tasks that the AI English speaking application discussed in the text utilized OpenAI's large models for?

  • Image editing, video streaming, music composition
  • Data analysis, cybersecurity, cloud computing
  • Email marketing, social media management, project management
  • Text generation, text-to-speech, speech-to-text (correct)

What is involved in building a personalized business application based on AI according to the text?

  • Utilizing a large model service at the core, creating an AI API on top of it, integrating backend services (correct)
  • Designing logos, writing content, managing customer queries
  • Building a website, creating a mobile app, setting up social media accounts
  • Developing software updates, conducting market research, hiring staff

Why might considerations of cost-effective alternatives arise when using OpenAI's large models?

<p>The cost of using their API may be high (B)</p> Signup and view all the answers

What is the purpose of platforms like Hugging Face according to the text?

<p>Experiment and select suitable models for tasks like text-to-speech, speech-to-text, text generation (D)</p> Signup and view all the answers

What indicates a high interest in AI in China according to the text?

<p>The recent popularity of a photo of Li Yizhou and Ultraman in social media (B)</p> Signup and view all the answers

What is a key challenge when using Open AI's large models according to the text?

<p>Controlling costs effectively (C)</p> Signup and view all the answers

How can costs be reduced when using large models for AI applications?

<p>Utilizing self-built models (A)</p> Signup and view all the answers

What is an important reason for experimenting with different models using platforms like Colab?

<p>To select the most suitable model for a specific application scenario (C)</p> Signup and view all the answers

Which platform is mentioned as an option for self-building models in the text?

<p>Hugging Face (D)</p> Signup and view all the answers

What indicates a shift in focus when building business applications using AI in China according to the text?

<p>Preference for solving business scenarios over delving deep into AI technology (A)</p> Signup and view all the answers

Why might considerations of alternative large models arise when using OpenAI's APIs?

<p>To explore cost-effective options (A)</p> Signup and view all the answers

Flashcards

Types of Large Models

Self-built models, OpenAI models like GPT3.5, and other models like Wenshenyiyan.

AI App Tasks

Text generation, text-to-speech, and speech-to-text.

Building an AI Business App

Using a large model service, creating an AI API, and integrating backend services.

Cost of OpenAI's Models

The API cost may be high.

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Purpose of Hugging Face

Experiment with and select suitable models for tasks like text-to-speech, speech-to-text, and text generation.

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Key Challenge with OpenAI

Controlling costs effectively.

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Reducing Costs

Utilizing self-built models.

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Experiment with Models

Select the most suitable model for a specific application scenario.

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Self-Building Platform

Hugging Face

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Shift In Focus

Preference for solving business scenarios over delving deep into AI technology.

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Alternative Models

To explore cost-effective options.

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Study Notes

  • The recent popularity of a photo of Li Yizhou and Ultraman in social media indicates a high interest in AI in China.
  • Many individuals are interested in understanding and learning how to use AI to solve business challenges, rather than delving into technical aspects like building large models or understanding neural networks.
  • Building a personalized business application based on AI involves utilizing a large model service at the core, creating an AI API on top of it, and integrating backend services to communicate with the API for user interaction.
  • Different types of large models can be used for AI applications, such as self-built models, OpenAI models like GPT3.5, or other models like Wenshenyiyan.
  • The AI English speaking application discussed in the text utilized OpenAI's large models for tasks like text generation (using GPT3.5), text-to-speech (using OpenAI's TTS), and speech-to-text (using Whisper's model).
  • While OpenAI's large models offer good performance, the cost of using their API may be high, leading to considerations of cost-effective alternatives like self-built models or models from other providers like Xunfei or Tencent.
  • Platforms like Hugging Face can be used to experiment and select suitable models for tasks like text-to-speech, speech-to-text, and text generation, allowing for customization and optimization based on specific application needs.

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